The Need for Different Domain-independent Heuristics. - Peter Stone 001; Manuela M. Veloso; Jim Blythe (AIPS, 1994)

Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. - Peter Stone 001; Manuela M. Veloso (NIPS, 1995)

FLECS: Planning with a Flexible Commitment Strategy. - Manuela M. Veloso; Peter Stone 001 (J. Artif. Intell. Res., 1995)

Layered Learning in Multiagent Systems. - Peter Stone 001 (AAAI/IAAI, 1997)

A Layered Approach for an Autonomous Robotic Soccer System. - Manuela M. Veloso; Peter Stone 001; Sorin Achim (Agents, 1997)

The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1. - Minoru Asada; Peter Stone 001; Hiroaki Kitano; Alexis Drogoul; Dominique Duhaut; Manuela M. Veloso; Hajime Asama; Sho'ji Suzuki (RoboCup, 1997)

The RoboCup Synthetic Agent Challenge 97. - Hiroaki Kitano; Milind Tambe; Peter Stone 001; Manuela M. Veloso; Silvia Coradeschi; Eiichi Osawa; Hitoshi Matsubara; Itsuki Noda; Minoru Asada (RoboCup, 1997)

Using Decision Tree Confidence Factors for Multiagent Control. - Peter Stone 001; Manuela M. Veloso (RoboCup, 1997)

The CMUnited-97 Simulator Team. - Peter Stone 001; Manuela M. Veloso (RoboCup, 1997)

The CMUnited-97 Small Robot Team. - Manuela M. Veloso; Peter Stone 001; Kwun Han; Sorin Achim (RoboCup, 1997)

Using Decision Tree Confidence Factors for Multi-Agent Control. - Peter Stone 001; Manuela M. Veloso (Agents, 1998)

The CMUnited-97 Robotic Socccer Team: Perception and Multiagent Control. - Manuela M. Veloso; Peter Stone 001; Kwun Han (Agents, 1998)

Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork. - Peter Stone 001; Manuela M. Veloso (ATAL, 1998)

Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication. - Peter Stone 001; Manuela M. Veloso (CRW, 1998)

Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents. - Manuela M. Veloso; Peter Stone 001 (ICMAS, 1998)

Team-Partitioned, Opaque-Transition Reinforced Learning. - Peter Stone 001; Manuela M. Veloso (RoboCup, 1998)

The CMUnited-98 Champion Simulator Team. - Peter Stone 001; Manuela M. Veloso; Patrick Riley 001 (RoboCup, 1998)

The CMUnited-98 Small-Robot Team. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim; Kwun Han; Peter Stone 001 (RoboCup, 1998)

The Robocup Physical Agent Challenge: Phase I. - Minoru Asada; Peter Stone 001; Hiroaki Kitano; Barry Brian Werger; Yasuo Kuniyoshi; Alexis Drogoul; Dominique Duhaut; Manuela M. Veloso; Hajime Asama; Sho'ji Suzuki (Appl. Artif. Intell., 1998)

Layered Approach to Learning Client Behaviors in the Robocup Soccer Server. - Peter Stone 001; Manuela M. Veloso (Appl. Artif. Intell., 1998)

CMUNITED-97: RoboCup-97 Small-Robot World Champion Team. - Manuela M. Veloso; Peter Stone 001; Kwun Han (AI Mag., 1998)

The CMUnited-98 champion small-robot team. - Manuela M. Veloso; Michael H. Bowling; Peter Stone 001 (Adv. Robotics, 1998)

CMUnited: a team of robotics soccer agents collaborating in an adversarial environment. - Manuela Veloso; Peter Stone 001; Kwun Han; Sorin Achim (XRDS, 1998)

Towards collaborative and adversarial learning: a case study in robotic soccer. - Peter Stone 001; Manuela M. Veloso (Int. J. Hum. Comput. Stud., 1998)

CMUnited-98: A Team of Robotic Soccer Agents. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim; Kwun Han; Peter Stone 001 (AAAI/IAAI, 1999)

Team-Partitioned, Opaque-Transition Reinforcement Learning. - Peter Stone 001; Manuela M. Veloso (Agents, 1999)

Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. - Peter Stone 001; Manuela M. Veloso (RoboCup, 1999)

Overview of RoboCup-99. - Manuela M. Veloso; Hiroaki Kitano; Enrico Pagello; Gerhard K. Kraetzschmar; Peter Stone 001; Tucker R. Balch; Minoru Asada; Silvia Coradeschi; Lars Karlsson; Masahiro Fujita (RoboCup, 1999)

Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. - Peter Stone 001; Manuela M. Veloso (Artif. Intell., 1999)

The CMUnited-97 robotic soccer team: Perception and multi-agent control. - Manuela M. Veloso; Peter Stone 001; Kwun Han (Robotics Auton. Syst., 1999)

Layered learning in multiagent systems - a winning approach to robotic soccer. - Peter Stone 001 (MIT Press, 2000)

Cobot in LambdaMOO: A Social Statistics Agent. - Charles Lee Isbell Jr.; Michael J. Kearns; David P. Kormann; Satinder Singh 001; Peter Stone 001 (AAAI/IAAI, 2000)

Defining and Using Ideal Teammate and Opponent Agent Models. - Peter Stone 001; Patrick Riley 001; Manuela M. Veloso (AAAI/IAAI, 2000)

The RoboCup Soccer Server and CMUnited: Implemented Infrastructure for MAS Research. - Itsuki Noda; Peter Stone 001 (Agents Workshop on Infrastructure for Multi-Agent Systems, 2000)

Layered disclosure: why is the agent doing what it's doing? - Peter Stone 001; Patrick Riley 001; Manuela M. Veloso (Agents, 2000)

Layered Disclosure: Revealing Agents' Internals. - Patrick Riley 001; Peter Stone 001; Manuela M. Veloso (ATAL, 2000)

Layered Learning. - Peter Stone 001; Manuela M. Veloso (ECML, 2000)

Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer. - Peter Stone 001; Patrick Riley 001; Manuela M. Veloso (ICMAS, 2000)

TPOT-RL Applied to Network Routing. - Peter Stone 001 (ICML, 2000)

Progress in RoboCup Soccer Research in 2000. - Minoru Asada; Andreas Birk 002; Enrico Pagello; Masahiro Fujita; Itsuki Noda; Satoshi Tadokoro; Dominique Duhaut; Peter Stone 001; Manuela M. Veloso; Tucker R. Balch; Hiroaki Kitano; Brian Thomas (ISER, 2000)

Keeping the Ball from CMUnited-99. - David A. McAllester; Peter Stone 001 (RoboCup, 2000)

ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. - Patrick Riley 001; Peter Stone 001; David A. McAllester; Manuela M. Veloso (RoboCup, 2000)

Overview of RoboCup-2000. - Peter Stone 001; Minoru Asada; Tucker R. Balch; Masahiro Fujita; Gerhard K. Kraetzschmar; Henrik Hautop Lund; Paul Scerri; Satoshi Tadokoro; Gordon F. Wyeth (RoboCup, 2000)

Reinforcement Learning for 3 vs. 2 Keepaway - Peter Stone 001; Richard S. Sutton; Satinder Singh 001 (RoboCup, 2000)

Overview of RoboCup-99. - Silvia Coradeschi; Lars Karlsson; Peter Stone 001; Tucker R. Balch; Gerhard K. Kraetzschmar; Minoru Asada (AI Mag., 2000)

The CMUnited-99 Champion Simulator Team. - Peter Stone 001; Patrick Riley 001; Manuela M. Veloso (AI Mag., 2000)

CMUNITED-98 Simulator Team. - Peter Stone 001; Manuela M. Veloso; Patrick Riley 001 (AI Mag., 2000)

CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim; Kwun Han; Peter Stone 001 (AI Mag., 2000)

Multiagent Systems: A Survey from a Machine Learning Perspective. - Peter Stone 001; Manuela M. Veloso (Auton. Robots, 2000)

A social reinforcement learning agent. - Charles Lee Isbell Jr.; Christian R. Shelton; Michael J. Kearns; Satinder Singh 001; Peter Stone 001 (Agents, 2001)

An architecture for action selection in robotic soccer. - Peter Stone 001; David A. McAllester (Agents, 2001)

Implicit Negotiation in Repeated Games. - Michael L. Littman; Peter Stone 001 (ATAL, 2001)

Scaling Reinforcement Learning toward RoboCup Soccer. - Peter Stone 001; Richard S. Sutton (ICML, 2001)

Cobot: A Social Reinforcement Learning Agent. - Charles Lee Isbell Jr.; Christian R. Shelton; Michael J. Kearns; Satinder Singh 001; Peter Stone 001 (NIPS, 2001)

ATTUnited-2001: Using Heterogeneous Players. - Peter Stone 001 (RoboCup, 2001)

Keepaway Soccer: A Machine Learning Testbed. - Peter Stone 001; Richard S. Sutton (RoboCup, 2001)

FAucS : An FCC Spectrum Auction Simulator for Autonomous Bidding Agents. - János A. Csirik; Michael L. Littman; Satinder Singh 001; Peter Stone 001 (WELCOM, 2001)

RoboCup-2000: The Fourth Robotic Soccer World Championships. - Peter Stone 001 (AI Mag., 2001)

Autonomous Bidding Agents in the Trading Agent Competition. - Amy Greenwald; Peter Stone 001 (IEEE Internet Comput., 2001)

ATTac-2000: An Adaptive Autonomous Bidding Agent. - Peter Stone 001; Michael L. Littman; Satinder Singh 001; Michael J. Kearns (J. Artif. Intell. Res., 2001)

Self-Enforcing Strategic Demand Reduction. - Paul S. A. Reitsma; Peter Stone 001; János A. Csirik; Michael L. Littman (AMEC, 2002)

ATTac-2001: A Learning, Autonomous Bidding Agent. - Peter Stone 001; Robert E. Schapire; János A. Csirik; Michael L. Littman; David A. McAllester (AMEC, 2002)

Randomized strategic demand reduction: getting more by asking for less. - Paul S. A. Reitsma; Peter Stone 001; János A. Csirik; Michael L. Littman (AAMAS, 2002)

Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. - Robert E. Schapire; Peter Stone 001; David A. McAllester; Michael L. Littman; János A. Csirik (ICML, 2002)

Multiagent Competitions and Research: Lessons from RoboCup and TAC. - Peter Stone 001 (RoboCup, 2002)

The 2002 AAAI Spring Symposium Series. - Jussi Karlgren; Pentti Kanerva; Björn Gambäck; Kenneth D. Forbus; Kagan Tumer; Peter Stone 001; Kai Goebel; Gaurav S. Sukhatme; Tucker R. Balch; Bernd Fischer 002; Doug Smith; Sanda M. Harabagiu; et al. (AI Mag., 2002)

RoboCup-2001: The Fifth Robotic Soccer World Championships. - Manuela M. Veloso; Tucker R. Balch; Peter Stone 001; Hiroaki Kitano; Fuminori Yamasaki; Ken Endo; Minoru Asada; Mansour Jamzad; Sayyed Bashir Sadjad; Vahab S. Mirrokni; Moslem Kazemi; Hamid Reza Chitsaz; et al. (AI Mag., 2002)

Performance analysis of a counter-intuitive automated stock-trading agent. - Ronggang Yu; Peter Stone 001 (ICEC, 2003)

Two Stock-Trading Agents: Market Making and Technical Analysis. - Y. Feng; Rong Yu; Peter Stone 001 (AMEC, 2003)

Concurrent layered learning. - Shimon Whiteson; Peter Stone 001 (AAMAS, 2003)

Evolving Keepaway Soccer Players through Task Decomposition. - Shimon Whiteson; Nate Kohl; Risto Miikkulainen; Peter Stone 001 (GECCO, 2003)

Learning Predictive State Representations. - Satinder Singh 001; Michael L. Littman; Nicholas K. Jong; David Pardoe; Peter Stone 001 (ICML, 2003)

Progress in Learning 3 vs. 2 Keepaway - Gregory Kuhlmann; Peter Stone 001 (RoboCup, 2003)

RoboCup in Higher Education: A Preliminary Report. - Elizabeth Sklar; Simon Parsons; Peter Stone 001 (RoboCup, 2003)

RoboCup as an Introduction to CS Research. - Peter Stone 001 (RoboCup, 2003)

The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research. - Itsuki Noda; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2003)

The 2001 Trading Agent Competition. - Michael P. Wellman; Amy Greenwald; Peter Stone 001; Peter R. Wurman (Electron. Mark., 2003)

Guest Editors' Introduction: Agents and Markets. - Amy Greenwald; Nicholas R. Jennings; Peter Stone 001 (IEEE Intell. Syst., 2003)

Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions. - Peter Stone 001; Robert E. Schapire; Michael L. Littman; János A. Csirik; David A. McAllester (J. Artif. Intell. Res., 2003)

Machine Learning for Fast Quadrupedal Locomotion. - Nate Kohl; Peter Stone 001 (AAAI, 2004)

Towards Autonomic Computing: Adaptive Job Routing and Scheduling. - Shimon Whiteson; Peter Stone 001 (AAAI, 2004)

Bidding for Customer Orders in TAC SCM. - David Pardoe; Peter Stone 001 (AMEC, 2004)

Three Automated Stock-Trading Agents: A Comparative Study. - Alexander A. Sherstov; Peter Stone 001 (AMEC, 2004)

Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. - Kurt M. Dresner; Peter Stone 001 (AAMAS, 2004)

Agent-Based Supply Chain Management: Bidding for Customer Orders. - David Pardoe; Peter Stone 001 (AAMAS, 2004)

Towards On-Board Color Constancy on Mobile Robots. - Mohan Sridharan; Peter Stone 001 (CRV, 2004)

Towards Autonomic Computing: Adaptive Network Routing and Scheduling. - Shimon Whiteson; Peter Stone 001 (ICAC, 2004)

Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. - Nate Kohl; Peter Stone 001 (ICRA, 2004)

The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach. - Gregory Kuhlmann; Peter Stone 001; Justin Lallinger (RoboCup, 2004)

Towards Illumination Invariance in the Legged League. - Mohan Sridharan; Peter Stone 001 (RoboCup, 2004)

A Model-Based Approach to Robot Joint Control. - Daniel Stronger; Peter Stone 001 (RoboCup, 2004)

Adaptive job routing and scheduling. - Shimon Whiteson; Peter Stone 001 (Eng. Appl. Artif. Intell., 2004)

Using RoboCup in university-level computer science education. - Elizabeth Sklar; Simon Parsons; Peter Stone 001 (ACM J. Educ. Resour. Comput., 2004)

TacTex-03: a supply chain management agent. - David Pardoe; Peter Stone 001 (SIGecom Exch., 2004)

Improving Action Selection in MDP's via Knowledge Transfer. - Alexander A. Sherstov; Peter Stone 001 (AAAI, 2005)

Autonomous Color Learning on a Mobile Robot. - Mohan Sridharan; Peter Stone 001 (AAAI, 2005)

Value Functions for RL-Based Behavior Transfer: A Comparative Study. - Matthew E. Taylor; Peter Stone 001; Yaxin Liu (AAAI, 2005)

Multiagent traffic management: an improved intersection control mechanism. - Kurt M. Dresner; Peter Stone 001 (AAMAS, 2005)

Behavior transfer for value-function-based reinforcement learning. - Matthew E. Taylor; Peter Stone 001 (AAMAS, 2005)

Automatic feature selection in neuroevolution. - Shimon Whiteson; Peter Stone 001; Kenneth O. Stanley; Risto Miikkulainen; Nate Kohl (GECCO, 2005)

Towards Self-Configuring Hardware for Distributed Computer Systems. - Jonathan Wildstrom; Peter Stone 001; Emmett Witchel; Raymond J. Mooney; Michael Dahlin (ICAC, 2005)

Practical Vision-Based Monte Carlo Localization on a Legged Robot. - Mohan Sridharan; Gregory Kuhlmann; Peter Stone 001 (ICRA, 2005)

Simultaneous Calibration of Action and Sensor Models on a Mobile Robot. - Daniel Stronger; Peter Stone 001 (ICRA, 2005)

State Abstraction Discovery from Irrelevant State Variables. - Nicholas K. Jong; Peter Stone 001 (IJCAI, 2005)

Real-time vision on a mobile robot platform. - Mohan Sridharan; Peter Stone 001 (IROS, 2005)

Multi-robot Learning for Continuous Area Sweeping. - Mazda Ahmadi; Peter Stone 001 (LAMAS, 2005)

Multiagent Traffic Management: Opportunities for Multiagent Learning. - Kurt M. Dresner; Peter Stone 001 (LAMAS, 2005)

Towards Eliminating Manual Color Calibration at RoboCup. - Mohan Sridharan; Peter Stone 001 (RoboCup, 2005)

Keepaway Soccer: From Machine Learning Testbed to Benchmark. - Peter Stone 001; Gregory Kuhlmann; Matthew E. Taylor; Yaxin Liu (RoboCup, 2005)

Function Approximation via Tile Coding: Automating Parameter Choice. - Alexander A. Sherstov; Peter Stone 001 (SARA, 2005)

Reinforcement Learning for RoboCup Soccer Keepaway. - Peter Stone 001; Richard S. Sutton; Gregory Kuhlmann (Adapt. Behav., 2005)

A polynomial-time Nash equilibrium algorithm for repeated games. - Michael L. Littman; Peter Stone 001 (Decis. Support Syst., 2005)

The First International Trading Agent Competition: Autonomous Bidding Agents. - Peter Stone 001; Amy Greenwald (Electron. Commer. Res., 2005)

Evolving Soccer Keepaway Players Through Task Decomposition. - Shimon Whiteson; Nate Kohl; Risto Miikkulainen; Peter Stone 001 (Mach. Learn., 2005)

Developing adaptive auction mechanisms. - David Pardoe; Peter Stone 001 (SIGecom Exch., 2005)

Adaptive mechanism design: a metalearning approach. - David Pardoe; Peter Stone 001; Maytal Saar-Tsechansky; Kerem Tomak (ICEC, 2006)

Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots. - Mazda Ahmadi; Peter Stone 001 (AAAI, 2006)

Biconnected Structure for Multi-Robot Systems. - Mazda Ahmadi; Peter Stone 001 (AAAI, 2006)

Traffic Intersections of the Future. - Kurt M. Dresner; Peter Stone 001 (AAAI, 2006)

Making Autonomous Intersection Management Backwards-Compatible. - Kurt M. Dresner; Peter Stone 001 (AAAI, 2006)

Know Thine Enemy: A Champion RoboCup Coach Agent. - Gregory Kuhlmann; William B. Knox; Peter Stone 001 (AAAI, 2006)

Automatic Heuristic Construction in a Complete General Game Player. - Gregory Kuhlmann; Peter Stone 001 (AAAI, 2006)

Automatic Heuristic Construction for General Game Playing. - Gregory Kuhlmann; Peter Stone 001 (AAAI, 2006)

Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping. - Yaxin Liu; Peter Stone 001 (AAAI, 2006)

TacTex-05: A Champion Supply Chain Management Agent. - David Pardoe; Peter Stone 001 (AAAI, 2006)

Expectation-Based Vision for Self-Localization on a Legged Robot. - Daniel Stronger; Peter Stone 001 (AAAI, 2006)

Inter-Task Action Correlation for Reinforcement Learning Tasks. - Matthew E. Taylor; Peter Stone 001 (AAAI, 2006)

Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. - Shimon Whiteson; Peter Stone 001 (AAAI, 2006)

Predictive Planning for Supply Chain Management. - David Pardoe; Peter Stone 001 (ICAPS, 2006)

TacTex-05: An Adaptive Agent for TAC SCM. - David Pardoe; Peter Stone 001; Mark Van Middlesworth (TADA/AMEC, 2006)

A Distributed Biconnectivity Check. - Mazda Ahmadi; Peter Stone 001 (DARS, 2006)

Designing safe, profitable automated stock trading agents using evolutionary algorithms. - Harish Subramanian; Subramanian Ramamoorthy; Peter Stone 001; Benjamin Kuipers (GECCO, 2006)

Comparing evolutionary and temporal difference methods in a reinforcement learning domain. - Matthew E. Taylor; Shimon Whiteson; Peter Stone 001 (GECCO, 2006)

On-line evolutionary computation for reinforcement learning in stochastic domains. - Shimon Whiteson; Peter Stone 001 (GECCO, 2006)

Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data. - Mohan Sridharan; Peter Stone 001 (ICARCV, 2006)

A Multi-robot System for Continuous Area Sweeping Tasks. - Mazda Ahmadi; Peter Stone 001 (ICRA, 2006)

The Chin Pinch: A Case Study in Skill Learning on a Legged Robot. - Peggy Fidelman; Peter Stone 001 (RoboCup, 2006)

Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study. - Shivaram Kalyanakrishnan; Yaxin Liu; Peter Stone 001 (RoboCup, 2006)

Autonomous Learning of Stable Quadruped Locomotion. - Manish Saggar; Thomas D'Silva; Nate Kohl; Peter Stone 001 (RoboCup, 2006)

Autonomous Planned Color Learning on a Legged Robot. - Mohan Sridharan; Peter Stone 001 (RoboCup, 2006)

Selective Visual Attention for Object Detection on a Legged Robot. - Daniel Stronger; Peter Stone 001 (RoboCup, 2006)

Cobot in LambdaMOO: An Adaptive Social Statistics Agent. - Charles Lee Isbell Jr.; Michael J. Kearns; Satinder Singh 001; Christian R. Shelton; Peter Stone 001; David P. Kormann (Auton. Agents Multi Agent Syst., 2006)

Towards autonomous sensor and actuator model induction on a mobile robot. - Daniel Stronger; Peter Stone 001 (Connect. Sci., 2006)

Evolutionary Function Approximation for Reinforcement Learning. - Shimon Whiteson; Peter Stone 001 (J. Mach. Learn. Res., 2006)

From pixels to multi-robot decision-making: A study in uncertainty. - Peter Stone 001; Mohan Sridharan; Daniel Stronger; Gregory Kuhlmann; Nate Kohl; Peggy Fidelman; Nicholas K. Jong (Robotics Auton. Syst., 2006)

Autonomous bidding agents - strategies and lessons from the trading agent competition. - Michael P. Wellman; Amy Greenwald; Peter Stone 001 (MIT Press, 2007)

Representation Transfer via Elaboration. - Matthew E. Taylor; Peter Stone 001 (AAAI, 2007)

Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. - Matthew E. Taylor; Shimon Whiteson; Peter Stone 001 (AAAI, 2007)

Representation Transfer for Reinforcement Learning. - Matthew E. Taylor; Peter Stone 001 (AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development, 2007)

IFSA: incremental feature-set augmentation for reinforcement learning tasks. - Mazda Ahmadi; Matthew E. Taylor; Peter Stone 001 (AAMAS, 2007)

Model-based function approximation in reinforcement learning. - Nicholas K. Jong; Peter Stone 001 (AAMAS, 2007)

Batch reinforcement learning in a complex domain. - Shivaram Kalyanakrishnan; Peter Stone 001 (AAMAS, 2007)

Adapting in agent-based markets: a study from TAC SCM. - David Pardoe; Peter Stone 001 (AAMAS, 2007)

Adapting Price Predictions in TAC SCM. - David Pardoe; Peter Stone 001 (AMEC/TADA, 2007)

Towards reinforcement learning representation transfer. - Matthew E. Taylor; Peter Stone 001 (AAMAS, 2007)

Transfer via inter-task mappings in policy search reinforcement learning. - Matthew E. Taylor; Shimon Whiteson; Peter Stone 001 (AAMAS, 2007)

Graph-Based Domain Mapping for Transfer Learning in General Games. - Gregory Kuhlmann; Peter Stone 001 (ECML, 2007)

Cross-domain transfer for reinforcement learning. - Matthew E. Taylor; Peter Stone 001 (ICML, 2007)

A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot. - Daniel Stronger; Peter Stone 001 (ICRA, 2007)

General Game Learning Using Knowledge Transfer. - Bikramjit Banerjee; Peter Stone 001 (IJCAI, 2007)

Sharing the Road: Autonomous Vehicles Meet Human Drivers. - Kurt M. Dresner; Peter Stone 001 (IJCAI, 2007)

Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination. - Mohan Sridharan; Peter Stone 001 (IJCAI, 2007)

Learning and Multiagent Reasoning for Autonomous Agents. - Peter Stone 001 (IJCAI, 2007)

Machine Learning for On-Line Hardware Reconfiguration. - Jonathan Wildstrom; Peter Stone 001; Emmett Witchel; Michael Dahlin (IJCAI, 2007)

Global action selection for illumination invariant color modeling. - Mohan Sridharan; Peter Stone 001 (IROS, 2007)

Instance-Based Action Models for Fast Action Planning. - Mazda Ahmadi; Peter Stone 001 (RoboCup, 2007)

A Neural Network-Based Approach to Robot Motion Control. - Uli Grasemann; Daniel Stronger; Peter Stone 001 (RoboCup, 2007)

Model-Based Reinforcement Learning in a Complex Domain. - Shivaram Kalyanakrishnan; Peter Stone 001; Yaxin Liu (RoboCup, 2007)

Model-Based Exploration in Continuous State Spaces. - Nicholas K. Jong; Peter Stone 001 (SARA, 2007)

Empirical Studies in Action Selection with Reinforcement Learning. - Shimon Whiteson; Matthew E. Taylor; Peter Stone 001 (Adapt. Behav., 2007)

Multiagent learning is not the answer. It is the question. - Peter Stone 001 (Artif. Intell., 2007)

Structure-based color learning on a mobile robot under changing illumination. - Mohan Sridharan; Peter Stone 001 (Auton. Robots, 2007)

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. - Matthew E. Taylor; Peter Stone 001; Yaxin Liu (J. Mach. Learn. Res., 2007)

Intelligent Autonomous Robotics: A Robot Soccer Case Study - Peter Stone 001 (Intelligent Autonomous Robotics, 2007)

Transfer Learning and Intelligence: an Argument and Approach. - Matthew E. Taylor; Gregory Kuhlmann; Peter Stone 001 (AGI, 2008)

The 2007 TAC SCM Prediction Challenge. - David Pardoe; Peter Stone 001 (AMEC/TADA, 2008)

Mitigating catastrophic failure at intersections of autonomous vehicles. - Kurt M. Dresner; Peter Stone 001 (AAMAS (3), 2008)

The utility of temporal abstraction in reinforcement learning. - Nicholas K. Jong; Todd Hester; Peter Stone 001 (AAMAS (1), 2008)

Replacing the stop sign: unmanaged intersection control for autonomous vehicles. - Mark Van Middlesworth; Kurt M. Dresner; Peter Stone 001 (AAMAS (3), 2008)

Autonomous transfer for reinforcement learning. - Matthew E. Taylor; Gregory Kuhlmann; Peter Stone 001 (AAMAS (1), 2008)

CARVE: A Cognitive Agent for Resource Value Estimation. - Jonathan Wildstrom; Peter Stone 001; Emmett Witchel (ICAC, 2008)

Online kernel selection for Bayesian reinforcement learning. - Joseph Reisinger; Peter Stone 001; Risto Miikkulainen (ICML, 2008)

Negative information and line observations for Monte Carlo localization. - Todd Hester; Peter Stone 001 (ICRA, 2008)

Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration. - W. Bradley Knox; Juhyun Lee; Peter Stone 001 (ICRA, 2008)

Person tracking on a mobile robot with heterogeneous inter-characteristic feedback. - Juhyun Lee; Peter Stone 001 (ICRA, 2008)

Maximum likelihood estimation of sensor and action model functions on a mobile robot. - Daniel Stronger; Peter Stone 001 (ICRA, 2008)

Online Multiagent Learning against Memory Bounded Adversaries. - Doran Chakraborty; Peter Stone 001 (ECML/PKDD (1), 2008)

Transferring Instances for Model-Based Reinforcement Learning. - Matthew E. Taylor; Nicholas K. Jong; Peter Stone 001 (ECML/PKDD (2), 2008)

Domestic Interaction on a Segway Base. - W. Bradley Knox; Juhyun Lee; Peter Stone 001 (RoboCup, 2008)

Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot. - Mohan Sridharan; Peter Stone 001 (VISAPP (2), 2008)

Comparing Two Action Planning Approaches for Color Learning on a Mobile Robot. - Mohan Sridharan; Peter Stone 001 (VISAPP (Workshop on Robot Perception), 2008)

Polynomial Regression with Automated Degree: a Function Approximator for Autonomous Agents. - Daniel Stronger; Peter Stone 001 (Int. J. Artif. Intell. Tools, 2008)

A Multiagent Approach to Autonomous Intersection Management. - Kurt M. Dresner; Peter Stone 001 (J. Artif. Intell. Res., 2008)

Book announcement: autonomous bidding agents. - Michael P. Wellman; Amy Greenwald; Peter Stone 001 (SIGecom Exch., 2008)

An Unmanaged Intersection Protocol and Improved Intersection Safety for Autonomous Vehicles. - Kurt M. Dresner; Peter Stone 001; Mark Van Middlesworth (Multi-Agent Systems for Traffic and Transportation Engineering, 2009)

A Task Specification Language for Bootstrap Learning. - Ian R. Fasel; Michael J. Quinlan; Peter Stone 001 (AAAI Spring Symposium: Agents that Learn from Human Teachers, 2009)

Design Principles for Creating Human-Shapable Agents. - W. Bradley Knox; Ian R. Fasel; Peter Stone 001 (AAAI Spring Symposium: Agents that Learn from Human Teachers, 2009)

Leading a Best-Response Teammate in an Ad Hoc Team. - Peter Stone 001; Gal A. Kaminka; Jeffrey S. Rosenschein (AMEC/TADA, 2009)

Generalized model learning for reinforcement learning in factored domains. - Todd Hester; Peter Stone 001 (AAMAS (2), 2009)

An empirical analysis of value function-based and policy search reinforcement learning. - Shivaram Kalyanakrishnan; Peter Stone 001 (AAMAS (2), 2009)

Improving particle filter performance using SSE instructions. - Peter Djeu; Michael J. Quinlan; Peter Stone 001 (IROS, 2009)

Interactively shaping agents via human reinforcement: the TAMER framework. - W. Bradley Knox; Peter Stone 001 (K-CAP, 2009)

Compositional Models for Reinforcement Learning. - Nicholas K. Jong; Peter Stone 001 (ECML/PKDD (1), 2009)

Feature Selection for Value Function Approximation Using Bayesian Model Selection. - Tobias Jung 001; Peter Stone 001 (ECML/PKDD (1), 2009)

Three Humanoid Soccer Platforms: Comparison and Synthesis. - Shivaram Kalyanakrishnan; Todd Hester; Michael J. Quinlan; Yinon Bentor; Peter Stone 001 (RoboCup, 2009)

Learning Complementary Multiagent Behaviors: A Case Study. - Shivaram Kalyanakrishnan; Peter Stone 001 (RoboCup, 2009)

Transfer Learning for Reinforcement Learning Domains: A Survey. - Matthew E. Taylor; Peter Stone 001 (J. Mach. Learn. Res., 2009)

Color learning and illumination invariance on mobile robots: A survey. - Mohan Sridharan; Peter Stone 001 (Robotics Auton. Syst., 2009)

Multi-Agent Social Simulation. - Itsuki Noda; Peter Stone 001; Tomohisa Yamashita; Koichi Kurumatani (Handbook of Ambient Intelligence and Smart Environments, 2010)

Motion Planning Algorithms for Autonomous Intersection Management. - Tsz-Chiu Au; Peter Stone 001 (Bridging the Gap Between Task and Motion Planning, 2010)

Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination. - Peter Stone 001; Gal A. Kaminka; Sarit Kraus; Jeffrey S. Rosenschein (AAAI, 2010)

Online model learning in adversarial Markov decision processes. - Doran Chakraborty; Peter Stone 001 (AAMAS, 2010)

Combining manual feedback with subsequent MDP reward signals for reinforcement learning. - W. Bradley Knox; Peter Stone 001 (AAMAS, 2010)

Training a Tetris agent via interactive shaping: a demonstration of the TAMER framework. - W. Bradley Knox; Peter Stone 001 (AAMAS, 2010)

TacTex09: a champion bidding agent for ad auctions. - David Pardoe; Doran Chakraborty; Peter Stone 001 (AAMAS, 2010)

MARIOnET: motion acquisition for robots through iterative online evaluative training. - Adam Setapen; Michael J. Quinlan; Peter Stone 001 (AAMAS, 2010)

To teach or not to teach?: decision making under uncertainty in ad hoc teams. - Peter Stone 001; Sarit Kraus (AAMAS, 2010)

Real time targeted exploration in large domains. - Todd Hester; Peter Stone 001 (ICDL, 2010)

Convergence, Targeted Optimality, and Safety in Multiagent Learning. - Doran Chakraborty; Peter Stone 001 (ICML, 2010)

Efficient Selection of Multiple Bandit Arms: Theory and Practice. - Shivaram Kalyanakrishnan; Peter Stone 001 (ICML, 2010)

Boosting for Regression Transfer. - David Pardoe; Peter Stone 001 (ICML, 2010)

Generalized model learning for Reinforcement Learning on a humanoid robot. - Todd Hester; Michael J. Quinlan; Peter Stone 001 (ICRA, 2010)

Bringing simulation to life: A mixed reality autonomous intersection. - Michael J. Quinlan; Tsz-Chiu Au; Jesse Zhu; Nicolae Stiurca; Peter Stone 001 (IROS, 2010)

Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration. - Tobias Jung 001; Peter Stone 001 (ECML/PKDD (1), 2010)

Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker. - Matthew J. Hausknecht; Peter Stone 001 (RoboCup, 2010)

Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. - Shimon Whiteson; Matthew E. Taylor; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2010)

Autonomous return on investment analysis of additional processing resources. - Jonathan Wildstrom; Peter Stone 001; Emmett Witchel (Int. J. Auton. Comput., 2010)

Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge. - David Pardoe; Peter Stone 001; Maytal Saar-Tsechansky; Tayfun Keskin; Kerem Tomak (INFORMS J. Comput., 2010)

Q-Learning. - Peter Stone 001 (Encyclopedia of Machine Learning, 2010)

Reinforcement Learning. - Peter Stone 001 (Encyclopedia of Machine Learning, 2010)

Leading Multiple Ad Hoc Teammates in Joint Action Settings. - Noa Agmon; Peter Stone 001 (Interactive Decision Theory and Game Theory, 2011)

Multiagent Patrol Generalized to Complex Environmental Conditions. - Noa Agmon; Daniel Urieli; Peter Stone 001 (AAAI, 2011)

Enforcing Liveness in Autonomous Traffic Management. - Tsz-Chiu Au; Neda Shahidi; Peter Stone 001 (AAAI, 2011)

Ad Hoc Teamwork in Variations of the Pursuit Domain. - Samuel Barrett; Peter Stone 001 (AAAI, 2011)

Role-Based Ad Hoc Teamwork. - Katie Long Genter; Noa Agmon; Peter Stone 001 (AAAI, 2011)

Comparing Agents' Success against People in Security Domains. - Raz Lin; Sarit Kraus; Noa Agmon; Samuel Barrett; Peter Stone 001 (AAAI, 2011)

Reinforcement Learning with Human Feedback in Mountain Car. - W. Bradley Knox; Adam Bradley Setapen; Peter Stone 001 (AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011)

Intersections of the Future: Using Fully Autonomous Vehicles. - Peter Stone 001 (ADMI, 2011)

On learning with imperfect representations. - Shivaram Kalyanakrishnan; Peter Stone 001 (ADPRL, 2011)

Protecting against evaluation overfitting in empirical reinforcement learning. - Shimon Whiteson; Brian Tanner; Matthew E. Taylor; Peter Stone 001 (ADPRL, 2011)

Ship patrol: multiagent patrol under complex environmental conditions. - Noa Agmon; Daniel Urieli; Peter Stone 001 (AAMAS, 2011)

Empirical evaluation of ad hoc teamwork in the pursuit domain. - Samuel Barrett; Peter Stone 001; Sarit Kraus (AAMAS, 2011)

A particle filter for bid estimation in ad auctions with periodic ranking observations. - David Pardoe; Peter Stone 001 (AAMAS, 2011)

Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles. - Paul Scerri; Balajee Kannan; Prasanna Velagapudi; Kate Macarthur; Peter Stone 001; Matthew E. Taylor; John M. Dolan; Alessandro Farinelli; Archie C. Chapman; Bernadine Dias; George Kantor (AAMAS Workshops, 2011)

Batch reservations in autonomous intersection management. - Neda Shahidi; Tsz-Chiu Au; Peter Stone 001 (AAMAS, 2011)

On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer. - Daniel Urieli; Patrick MacAlpine; Shivaram Kalyanakrishnan; Yinon Bentor; Peter Stone 001 (AAMAS, 2011)

Invited Talk: PRISM - Practical RL: Representation, Interaction, Synthesis, and Mortality. - Peter Stone 001 (EWRL, 2011)

Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree. - Doran Chakraborty; Peter Stone 001 (ICML, 2011)

Autonomous Intersection Management: Multi-intersection optimization. - Matthew J. Hausknecht; Tsz-Chiu Au; Peter Stone 001 (IROS, 2011)

Dynamic lane reversal in traffic management. - Matthew J. Hausknecht; Tsz-Chiu Au; Peter Stone 001; David Fajardo; S. Travis Waller (ITSC, 2011)

WrightEagle and UT Austin Villa: RoboCup 2011 Simulation League Champions. - Aijun Bai; Xiaoping Chen; Patrick MacAlpine; Daniel Urieli; Samuel Barrett; Peter Stone 001 (RoboCup, 2011)

A Low Cost Ground Truth Detection System for RoboCup Using the Kinect. - Piyush Khandelwal; Peter Stone 001 (RoboCup, 2011)

Empowerment for continuous agent - environment systems. - Tobias Jung 001; Daniel Polani; Peter Stone 001 (Adapt. Behav., 2011)

An Introduction to Intertask Transfer for Reinforcement Learning. - Matthew E. Taylor; Peter Stone 001 (AI Mag., 2011)

A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control - Todd Hester; Michael J. Quinlan; Peter Stone 001 (CoRR, 2011)

Characterizing reinforcement learning methods through parameterized learning problems. - Shivaram Kalyanakrishnan; Peter Stone 001 (Mach. Learn., 2011)

Designing adaptive trading agents. - David Pardoe; Peter Stone 001 (SIGecom Exch., 2011)

Learning and Using Models. - Todd Hester; Peter Stone 001 (Reinforcement Learning, 2012)

Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition. - Patrick MacAlpine; Samuel Barrett; Daniel Urieli; Victor Vu; Peter Stone 001 (AAAI, 2012)

Leading ad hoc agents in joint action settings with multiple teammates. - Noa Agmon; Peter Stone 001 (AAMAS, 2012)

An analysis framework for ad hoc teamwork tasks. - Samuel Barrett; Peter Stone 001 (AAMAS, 2012)

Role selection in ad hoc teamwork. - Katie Long Genter; Noa Agmon; Peter Stone 001 (AAMAS, 2012)

Reinforcement learning from simultaneous human and MDP reward. - W. Bradley Knox; Peter Stone 001 (AAMAS, 2012)

UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition. - Patrick MacAlpine; Daniel Urieli; Samuel Barrett; Shivaram Kalyanakrishnan; Francisco Barrera; Adrian Lopez-Mobilia; Nicolae Stiurca; Victor Vu; Peter Stone 001 (AAMAS, 2012)

HyperNEAT-GGP: a hyperNEAT-based atari general game player. - Matthew J. Hausknecht; Piyush Khandelwal; Risto Miikkulainen; Peter Stone 001 (GECCO, 2012)

A Platform for Evaluating Autonomous Intersection Management Policies. - Chien-Liang Fok; Maykel Hanna; Seth Gee; Tsz-Chiu Au; Peter Stone 001; Christine Julien 001; Sriram Vishwanath (ICCPS, 2012)

Intrinsically motivated model learning for a developing curious agent. - Todd Hester; Peter Stone 001 (ICDL-EPIROB, 2012)

PAC Subset Selection in Stochastic Multi-armed Bandits. - Shivaram Kalyanakrishnan; Ambuj Tewari; Peter Auer; Peter Stone 001 (ICML, 2012)

On coordination in practical multi-robot patrol. - Noa Agmon; Chien-Liang Fok; Yehuda Emaliah; Peter Stone 001; Christine Julien 001; Sriram Vishwanath (ICRA, 2012)

Setpoint scheduling for autonomous vehicle controllers. - Tsz-Chiu Au; Michael J. Quinlan; Peter Stone 001 (ICRA, 2012)

RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for robot control. - Todd Hester; Michael J. Quinlan; Peter Stone 001 (ICRA, 2012)

Evasion planning for autonomous vehicles at intersections. - Tsz-Chiu Au; Chien-Liang Fok; Sriram Vishwanath; Christine Julien 001; Peter Stone 001 (IROS, 2012)

Video: RoboCup robot soccer history 1997 - 2011. - Manuela M. Veloso; Peter Stone 001 (IROS, 2012)

Approximately Orchestrated Routing and Transportation Analyzer: Large-scale traffic simulation for autonomous vehicles. - Dustin Carlino; Mike Depinet; Piyush Khandelwal; Peter Stone 001 (ITSC, 2012)

Reinforcement learning from human reward: Discounting in episodic tasks. - W. Bradley Knox; Peter Stone 001 (RO-MAN, 2012)

UT Austin Villa 2012: Standard Platform League World Champions. - Samuel Barrett; Katie Long Genter; Yuchen He 003; Todd Hester; Piyush Khandelwal; Jacob Menashe; Peter Stone 001 (RoboCup, 2012)

Positioning to Win: A Dynamic Role Assignment and Formation Positioning System. - Patrick MacAlpine; Francisco Barrera; Peter Stone 001 (RoboCup, 2012)

UT Austin Villa: RoboCup 2012 3D Simulation League Champion. - Patrick MacAlpine; Nick Collins; Adrian Lopez-Mobilia; Peter Stone 001 (RoboCup, 2012)

Ten Years of AAMAS: Introduction to the Special Issue. - Liz Sonenberg; Peter Stone 001; Kagan Tumer; Pinar Yolum (AI Mag., 2012)

How Humans Teach Agents - A New Experimental Perspective. - W. Bradley Knox; Brian D. Glass; Bradley C. Love; W. Todd Maddox; Peter Stone 001 (Int. J. Soc. Robotics, 2012)

Teamwork with Limited Knowledge of Teammates. - Samuel Barrett; Peter Stone 001; Sarit Kraus; Avi Rosenfeld (AAAI, 2013)

Cooperating with a markovian ad hoc teammate. - Doran Chakraborty; Peter Stone 001 (AAMAS, 2013)

Humanoid robots learning to walk faster: from the real world to simulation and back. - Alon Farchy; Samuel Barrett; Patrick MacAlpine; Peter Stone 001 (AAMAS, 2013)

Ad hoc teamwork for leading a flock. - Katie Long Genter; Noa Agmon; Peter Stone 001 (AAMAS, 2013)

Learning exploration strategies in model-based reinforcement learning. - Todd Hester; Manuel Lopes 001; Peter Stone 001 (AAMAS, 2013)

A learning agent for heat-pump thermostat control. - Daniel Urieli; Peter Stone 001 (AAMAS, 2013)

Auction-based autonomous intersection management. - Dustin Carlino; Stephen D. Boyles; Peter Stone 001 (ITSC, 2013)

Learning non-myopically from human-generated reward. - W. Bradley Knox; Peter Stone 001 (IUI, 2013)

Teaching agents with human feedback: a demonstration of the TAMER framework. - W. Bradley Knox; Peter Stone 001; Cynthia Breazeal (IUI Companion, 2013)

Model-Selection for Non-parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System. - Daniel Urieli; Peter Stone 001 (ECML/PKDD (1), 2013)

The 2012 UT Austin Villa Code Release. - Samuel Barrett; Katie Long Genter; Yuchen He 003; Todd Hester; Piyush Khandelwal; Jacob Menashe; Peter Stone 001 (RoboCup, 2013)

The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots. - Todd Hester; Peter Stone 001 (RoboCup, 2013)

Training a Robot via Human Feedback: A Case Study. - W. Bradley Knox; Peter Stone 001; Cynthia Breazeal (ICSR, 2013)

Teaching and leading an ad hoc teammate: Collaboration without pre-coordination. - Peter Stone 001; Gal A. Kaminka; Sarit Kraus; Jeffrey S. Rosenschein; Noa Agmon (Artif. Intell., 2013)

TEXPLORE: real-time sample-efficient reinforcement learning for robots. - Todd Hester; Peter Stone 001 (Mach. Learn., 2013)

Using a million cell simulation of the cerebellum: Network scaling and task generality. - Wen-Ke Li; Matthew J. Hausknecht; Peter Stone 001; Michael D. Mauk (Neural Networks, 2013)

TacTex'13: A Champion Adaptive Power Trading Agent. - Daniel Urieli; Peter Stone 001 (AAAI, 2014)

Leading the Way: An Efficient Multi-Robot Guidance System. - Piyush Khandelwal; Peter Stone 001 (AAAI Fall Symposia, 2014)

Multi-Robot Human Guidance Using Topological Graphs. - Piyush Khandelwal; Peter Stone 001 (AAAI Spring Symposia, 2014)

Planning in Answer Set Programming while Learning Action Costs for Mobile Robots. - Fangkai Yang; Piyush Khandelwal; Matteo Leonetti; Peter Stone 001 (AAAI Spring Symposia, 2014)

Planning in Action Language BC while Learning Action Costs for Mobile Robots. - Piyush Khandelwal; Fangkai Yang; Matteo Leonetti; Vladimir Lifschitz; Peter Stone 001 (ICAPS, 2014)

Influencing a Flock via Ad Hoc Teamwork. - Katie Long Genter; Peter Stone 001 (ANTS Conference, 2014)

Modeling uncertainty in leading ad hoc teams. - Noa Agmon; Samuel Barrett; Peter Stone 001 (AAMAS, 2014)

Semi-autonomous intersection management. - Tsz-Chiu Au; Shun Zhang; Peter Stone 001 (AAMAS, 2014)

Orienting a flock via ad hoc teamwork. - Katie Genter; Peter Stone 001 (AAMAS, 2014)

The RoboCup 2013 drop-in player challenges: a testbed for ad hoc teamwork. - Patrick MacAlpine; Katie Long Genter; Samuel Barrett; Peter Stone 001 (AAMAS, 2014)

Communicating with Unknown Teammates. - Samuel Barrett; Noa Agmon; Noam Hazon; Sarit Kraus; Peter Stone 001 (ECAI, 2014)

The RoboCup 2013 drop-in player challenges: Experiments in ad hoc teamwork. - Patrick MacAlpine; Katie Genter; Samuel Barrett; Peter Stone 001 (IROS, 2014)

Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League. - Mike Depinet; Patrick MacAlpine; Peter Stone 001 (RoboCup, 2014)

UT Austin Villa: RoboCup 2014 3D Simulation League Competition and Technical Challenge Champions. - Patrick MacAlpine; Mike Depinet; Jason Liang; Peter Stone 001 (RoboCup, 2014)

Multiagent learning in the presence of memory-bounded agents. - Doran Chakraborty; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2014)

RoboCup Soccer Leagues. - Daniele Nardi; Itsuki Noda; A. Fernando Ribeiro; Peter Stone 001; Oskar von Stryk; Manuela M. Veloso (AI Mag., 2014)

Drop-in games at RoboCup. - Peter Stone 001; Patrick MacAlpine; Katie Genter; Samuel Barrett (AI Matters, 2014)

DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation. - Elad Liebman; Peter Stone 001 (CoRR, 2014)

A Neuroevolution Approach to General Atari Game Playing. - Matthew J. Hausknecht; Joel Lehman; Risto Miikkulainen; Peter Stone 001 (IEEE Trans. Comput. Intell. AI Games, 2014)

Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork. - Samuel Barrett; Peter Stone 001 (AAAI, 2015)

Placing Influencing Agents in a Flock. - Katie Genter; Peter Stone 001 (AAAI, 2015)

The Impact of Determinism on Learning Atari 2600 Games. - Matthew J. Hausknecht; Peter Stone 001 (AAAI Workshop: Learning for General Competency in Video Games, 2015)

UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning. - Patrick MacAlpine; Mike Depinet; Peter Stone 001 (AAAI, 2015)

SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning. - Patrick MacAlpine; Eric Price 001; Peter Stone 001 (AAAI, 2015)

CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot. - Shiqi Zhang 001; Peter Stone 001 (AAAI, 2015)

Deep Recurrent Q-Learning for Partially Observable MDPs. - Matthew J. Hausknecht; Peter Stone 001 (AAAI Fall Symposia, 2015)

Defender Strategies In Domains Involving Frequent Adversary Interaction. - Fei Fang 001; Peter Stone 001; Milind Tambe (AAMAS, 2015)

The RoboCup 2014 SPL Drop-in Player Competition: Encouraging Teamwork without Pre-coordination. - Katie Genter; Tim Laue 001; Peter Stone 001 (AAMAS, 2015)

Determining Placements of Influencing Agents in a Flock. - Katie Genter; Shun Zhang; Peter Stone 001 (AAMAS, 2015)

Leading the Way: An Efficient Multi-robot Guidance System. - Piyush Khandelwal; Samuel Barrett; Peter Stone 001 (AAMAS, 2015)

DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation. - Elad Liebman; Maytal Saar-Tsechansky; Peter Stone 001 (AAMAS, 2015)

Monte Carlo Hierarchical Model Learning. - Jacob Menashe; Peter Stone 001 (AAMAS, 2015)

Monte Carlo Hierarchical Model Learning: (Doctoral Consortium). - Jacob Menashe; Peter Stone 001 (AAMAS, 2015)

Learning Inter-Task Transferability in the Absence of Target Task Samples. - Jivko Sinapov; Sanmit Narvekar; Matteo Leonetti; Peter Stone 001 (AAMAS, 2015)

When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. - Fei Fang 001; Peter Stone 001; Milind Tambe (IJCAI, 2015)

Learning to Interpret Natural Language Commands through Human-Robot Dialog. - Jesse Thomason; Shiqi Zhang 001; Raymond J. Mooney; Peter Stone 001 (IJCAI, 2015)

Benchmarking robot cooperation without pre-coordination in the RoboCup Standard Platform League drop-in player competition. - Katie Genter; Tim Laue 001; Peter Stone 001 (IROS, 2015)

How Music Alters Decision Making - Impact of Music Stimuli on Emotional Classification. - Elad Liebman; Peter Stone 001; Corey N. White (ISMIR, 2015)

Mobile Robot Planning Using Action Language BC with an Abstraction Hierarchy. - Shiqi Zhang 001; Fangkai Yang; Piyush Khandelwal; Peter Stone 001 (LPNMR, 2015)

A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer. - David Leonardo Leottau; Javier Ruiz-del-Solar; Patrick MacAlpine; Peter Stone 001 (RoboCup, 2015)

UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions. - Patrick MacAlpine; Josiah Hanna; Jason Liang; Peter Stone 001 (RoboCup, 2015)

Robot-Centric Activity Recognition 'in the Wild'. - Ilaria Gori; Jivko Sinapov; Priyanka Khante; Peter Stone 001; J. K. Aggarwal (ICSR, 2015)

Representative Selection in Nonmetric Datasets. - Elad Liebman; Benny Chor; Peter Stone 001 (Appl. Artif. Intell., 2015)

Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance. - W. Bradley Knox; Peter Stone 001 (Artif. Intell., 2015)

Who speaks for AI? - Eric Eaton; Tom Dietterich; Maria L. Gini; Barbara J. Grosz; Charles L. Isbell Jr.; Subbarao Kambhampati; Michael L. Littman; Francesca Rossi 001; Stuart Russell 001; Peter Stone 001; Toby Walsh; Michael J. Wooldridge (AI Matters, 2015)

Representative Selection in Non Metric Datasets. - Elad Liebman; Benny Chor; Peter Stone 001 (CoRR, 2015)

What's Hot at RoboCup. - Peter Stone 001 (AAAI, 2016)

Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market. - Daniel Urieli; Peter Stone 001 (AAAI, 2016)

An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis. - Daniel Urieli; Peter Stone 001 (AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016)

Adding Influencing Agents to a Flock. - Katie Genter; Peter Stone 001 (AAMAS, 2016)

Source Task Creation for Curriculum Learning. - Sanmit Narvekar; Jivko Sinapov; Matteo Leonetti; Peter Stone 001 (AAMAS, 2016)

Autonomous Learning Agents: Layered Learning and Ad Hoc Teamwork. - Peter Stone 001 (AAMAS, 2016)

Adaptation of Surrogate Tasks for Bipedal Walk Optimization. - Patrick MacAlpine; Elad Liebman; Peter Stone 001 (GECCO (Companion), 2016)

Dynamic behaviors on the NAO robot with closed-loop whole body operational space control. - Donghyun Kim 002; Steven Jens Jorgensen; Peter Stone 001; Luis Sentis (Humanoids, 2016)

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search. - Piyush Khandelwal; Elad Liebman; Scott Niekum; Peter Stone 001 (ICML, 2016)

Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput. - Guni Sharon; Josiah Hanna; Tarun Rambha; Michael Albert 002; Peter Stone 001; Stephen D. Boyles (ATT@IJCAI, 2016)

Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors. - Jivko Sinapov; Priyanka Khante; Maxwell Svetlik; Peter Stone 001 (IJCAI, 2016)

Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". - Jesse Thomason; Jivko Sinapov; Maxwell Svetlik; Peter Stone 001; Raymond J. Mooney (IJCAI, 2016)

Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots. - Shiqi Zhang 001; Dongcai Lu; Xiaoping Chen; Peter Stone 001 (IJCAI, 2016)

Impact of Music on Decision Making in Quantitative Tasks. - Elad Liebman; Peter Stone 001; Corey N. White (ISMIR, 2016)

UT Austin Villa RoboCup 3D Simulation Base Code Release. - Patrick MacAlpine; Peter Stone 001 (RoboCup, 2016)

Prioritized Role Assignment for Marking. - Patrick MacAlpine; Peter Stone 001 (RoboCup, 2016)

UT Austin Villa: RoboCup 2016 3D Simulation League Competition and Technical Challenges Champions. - Patrick MacAlpine; Peter Stone 001 (RoboCup, 2016)

A synthesis of automated planning and reinforcement learning for efficient, robust decision-making. - Matteo Leonetti; Luca Iocchi; Peter Stone 001 (Artif. Intell., 2016)

High Confidence Off-Policy Evaluation with Models. - Josiah P. Hanna; Peter Stone 001; Scott Niekum (CoRR, 2016)

Deep Reinforcement Learning in Parameterized Action Space. - Matthew J. Hausknecht; Peter Stone 001 (ICLR (Poster), 2016)

Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data. - Decebal Constantin Mocanu; Maria Torres Vega; Eric Eaton; Peter Stone 001; Antonio Liotta (CoRR, 2016)

UT Austin Villa: Project-Driven Research in AI and Robotics. - Katie Genter; Patrick MacAlpine; Jacob Menashe; Josiah Hanna; Elad Liebman; Sanmit Narvekar; Ruohan Zhang; Peter Stone 001 (IEEE Intell. Syst., 2016)

Automated Design of Robust Mechanisms. - Michael Albert 002; Vincent Conitzer; Peter Stone 001 (AAAI, 2017)

Grounded Action Transformation for Robot Learning in Simulation. - Josiah P. Hanna; Peter Stone 001 (AAAI, 2017)

Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. - Josiah P. Hanna; Peter Stone 001; Scott Niekum (AAAI, 2017)

Designing Better Playlists with Monte Carlo Tree Search. - Elad Liebman; Piyush Khandelwal; Maytal Saar-Tsechansky; Peter Stone 001 (AAAI, 2017)

Automatic Curriculum Graph Generation for Reinforcement Learning Agents. - Maxwell Svetlik; Matteo Leonetti; Jivko Sinapov; Rishi Shah; Nick Walker 001; Peter Stone 001 (AAAI, 2017)

Dynamically Constructed (PO)MDPs for Adaptive Robot Planning. - Shiqi Zhang 001; Piyush Khandelwal; Peter Stone 001 (AAAI, 2017)

Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? - Michael Albert 002; Vincent Conitzer; Peter Stone 001 (AAMAS, 2017)

Reasoning about Hypothetical Agent Behaviours and their Parameters. - Stefano V. Albrecht; Peter Stone 001 (AAMAS, 2017)

Agent Behaviors for Joining and Leaving a Flock. - Katie Genter; Peter Stone 001 (AAMAS, 2017)

Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests. - Piyush Khandelwal; Peter Stone 001 (AAMAS, 2017)

Autonomous Model Management via Reinforcement Learning: Extended Abstract. - Elad Liebman; Eric Zavesky; Peter Stone 001 (AAMAS, 2017)

Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges. - Patrick MacAlpine; Peter Stone 001 (AAMAS Workshops (Selected Papers), 2017)

A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections. - Guni Sharon; Peter Stone 001 (AAMAS Workshops (Selected Papers), 2017)

Multirobot Symbolic Planning under Temporal Uncertainty. - Shiqi Zhang 001; Yuqian Jiang; Guni Sharon; Peter Stone 001 (AAMAS, 2017)

Opportunistic Active Learning for Grounding Natural Language Descriptions. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (CoRL, 2017)

Multiagent Learning Paradigms. - Karl Tuyls; Peter Stone 001 (EUMAS/AT, 2017)

CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression. - Santiago Gonzalez; Vijay Chidambaram; Jivko Sinapov; Peter Stone 001 (HotStorage, 2017)

Data-Efficient Policy Evaluation Through Behavior Policy Search. - Josiah P. Hanna; Philip S. Thomas; Peter Stone 001; Scott Niekum (ICML, 2017)

Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. - Sanmit Narvekar; Jivko Sinapov; Peter Stone 001 (IJCAI, 2017)

Leveraging commonsense reasoning and multimodal perception for robot spoken dialog systems. - Dongcai Lu; Shiqi Zhang 001; Peter Stone 001; Xiaoping Chen (IROS, 2017)

UT Austin Villa: RoboCup 2017 3D Simulation League Competition and Technical Challenges Champions. - Patrick MacAlpine; Peter Stone 001 (RoboCup, 2017)

Fast and Precise Black and White Ball Detection for RoboCup Soccer. - Jacob Menashe; Josh Kelle; Katie Genter; Josiah Hanna; Elad Liebman; Sanmit Narvekar; Ruohan Zhang; Peter Stone 001 (RoboCup, 2017)

Special issue on multiagent interaction without prior coordination: guest editorial. - Stefano V. Albrecht; Somchaya Liemhetcharat; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2017)

Three years of the RoboCup standard platform league drop-in player competition - Creating and maintaining a large scale ad hoc teamwork robotics competition. - Katie Genter; Tim Laue 001; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2017)

Making friends on the fly: Cooperating with new teammates. - Samuel Barrett; Avi Rosenfeld; Sarit Kraus; Peter Stone 001 (Artif. Intell., 2017)

Intrinsically motivated model learning for developing curious robots. - Todd Hester; Peter Stone 001 (Artif. Intell., 2017)

Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective. - Decebal Constantin Mocanu; Elena Mocanu; Peter Stone 001; Phuong H. Nguyen; Madeleine Gibescu; Antonio Liotta (CoRR, 2017)

Multirobot Systems. - Tsz-Chiu Au; Bikramjit Banerjee; Prithviraj Dasgupta; Peter Stone 001 (IEEE Intell. Syst., 2017)

BWIBots: A platform for bridging the gap between AI and human-robot interaction research. - Piyush Khandelwal; Shiqi Zhang 001; Jivko Sinapov; Matteo Leonetti; Jesse Thomason; Fangkai Yang; Ilaria Gori; Maxwell Svetlik; Priyanka Khante; Vladimir Lifschitz; J. K. Aggarwal; Raymond J. Mooney; et al. (Int. J. Robotics Res., 2017)

Machine Learning Capabilities of a Simulated Cerebellum. - Matthew J. Hausknecht; Wen-Ke Li; Michael D. Mauk; Peter Stone 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Q-Learning. - Peter Stone 001 (Encyclopedia of Machine Learning and Data Mining, 2017)

Reinforcement Learning. - Peter Stone 001 (Encyclopedia of Machine Learning and Data Mining, 2017)

DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. - Haipeng Chen 001; Bo An 001; Guni Sharon; Josiah P. Hanna; Peter Stone 001; Chunyan Miao; Yeng Chai Soh (AAAI, 2018)

Adversarial Goal Generation for Intrinsic Motivation. - Ishan Durugkar; Peter Stone 001 (AAAI, 2018)

DIPD: Gaze-Based Intention Inference in Dynamic Environments. - Yu-Sian Jiang; Garrett Warnell; Peter Stone 001 (AAAI Workshops, 2018)

Autonomous Model Management via Reinforcement Learning. - Elad Liebman; Eric Zavesky; Peter Stone 001 (AAAI Workshops, 2018)

Traffic Optimization for a Mixture of Self-Interested and Compliant Agents. - Guni Sharon; Michael Albert 002; Tarun Rambha; Stephen D. Boyles; Peter Stone 001 (AAAI, 2018)

Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. - Jesse Thomason; Jivko Sinapov; Raymond J. Mooney; Peter Stone 001 (AAAI, 2018)

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. - Garrett Warnell; Nicholas R. Waytowich; Vernon Lawhern; Peter Stone 001 (AAAI, 2018)

Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers. - Saeid Amiri; Suhua Wei; Shiqi Zhang 001; Jivko Sinapov; Jesse Thomason; Peter Stone 001 (AAAI Spring Symposia, 2018)

Towards a Data Efficient Off-Policy Policy Gradient. - Josiah P. Hanna; Peter Stone 001 (AAAI Spring Symposia, 2018)

State Abstraction Synthesis for Discrete Models of Continuous Domains. - Jacob Menashe; Peter Stone 001 (AAAI Spring Symposia, 2018)

A Stitch in Time - Autonomous Model Management via Reinforcement Learning. - Elad Liebman; Eric Zavesky; Peter Stone 001 (AAMAS, 2018)

PETLON: Planning Efficiently for Task-Level-Optimal Navigation. - Shih-Yun Lo; Shiqi Zhang 001; Peter Stone 001 (AAMAS, 2018)

Link-based Parameterized Micro-tolling Scheme for Optimal Traffic Management. - Hamid Mirzaei; Guni Sharon; Stephen D. Boyles; Tony Givargis; Peter Stone 001 (AAMAS, 2018)

Learning a Policy for Opportunistic Active Learning. - Aishwarya Padmakumar; Peter Stone 001; Raymond J. Mooney (EMNLP, 2018)

Inferring User Intention using Gaze in Vehicles. - Yu-Sian Jiang; Garrett Warnell; Peter Stone 001 (ICMI, 2018)

Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. - Saeid Amiri; Suhua Wei; Shiqi Zhang 001; Jivko Sinapov; Jesse Thomason; Peter Stone 001 (IJCAI, 2018)

Behavioral Cloning from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IJCAI, 2018)

PRISM: Pose Registration for Integrated Semantic Mapping. - Justin W. Hart; Rishi Shah; Sean Kirmani; Nick Walker 001; Kathryn Baldauf; Nathan John; Peter Stone 001 (IROS, 2018)

Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning. - Hamid Mirzaei Buini; Guni Sharon; Stephen D. Boyles; Tony Givargis; Peter Stone 001 (ISAIM, 2018)

On the Impact of Music on Decision Making in Cooperative Tasks. - Elad Liebman; Corey N. White; Peter Stone 001 (ISMIR, 2018)

Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning. - Hamid Mirzaei; Guni Sharon; Stephen D. Boyles; Tony Givargis; Peter Stone 001 (ITSC, 2018)

Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability. - Rolando Fernandez; Nathan John; Sean Kirmani; Justin W. Hart; Jivko Sinapov; Peter Stone 001 (RO-MAN, 2018)

A Study of Human-Robot Copilot Systems for En-route Destination Changing. - Yu-Sian Jiang; Garrett Warnell; Eduardo Munera; Peter Stone 001 (RO-MAN, 2018)

UT Austin Villa: RoboCup 2018 3D Simulation League Champions. - Patrick MacAlpine; Faraz Torabi; Brahma S. Pavse; John Sigmon; Peter Stone 001 (RoboCup, 2018)

Autonomous agents modelling other agents: A comprehensive survey and open problems. - Stefano V. Albrecht; Peter Stone 001 (Artif. Intell., 2018)

Overlapping layered learning. - Patrick MacAlpine; Peter Stone 001 (Artif. Intell., 2018)

A century-long commitment to assessing artificial intelligence and its impact on society. - Barbara J. Grosz; Peter Stone 001 (Commun. ACM, 2018)

An Empirical Comparison of PDDL-based and ASP-based Task Planners. - Yuqian Jiang; Shiqi Zhang 001; Piyush Khandelwal; Peter Stone 001 (CoRR, 2018)

Generative Adversarial Imitation from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (CoRR, 2018)

Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. - Prabhat Nagarajan; Garrett Warnell; Peter Stone 001 (CoRR, 2018)

Ad hoc Teamwork and Moral Feedback as a Framework for Safe Agent Behavior. - Shani Alkoby; Avilash Rath; Peter Stone 001 (CoRR, 2018)

An Architecture for Person-Following using Active Target Search. - Minkyu Kim; Miguel Arduengo; Nick Walker 001; Yuqian Jiang; Justin W. Hart; Peter Stone 001; Luis Sentis (CoRR, 2018)

Robot Representing and Reasoning with Knowledge from Reinforcement Learning. - Keting Lu; Shiqi Zhang 001; Peter Stone 001; Xiaoping Chen (CoRR, 2018)

Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. - Justin W. Hart; Harel Yedidsion; Yuqian Jiang; Nick Walker 001; Rishi Shah; Jesse Thomason; Aishwarya Padmakumar; Rolando Fernandez; Jivko Sinapov; Raymond J. Mooney; Peter Stone 001 (CoRR, 2018)

LAAIR: A Layered Architecture for Autonomous Interactive Robots. - Yuqian Jiang; Nick Walker 001; Minkyu Kim; Nicolas Brissonneau; Daniel S. Brown; Justin W. Hart; Scott Niekum; Luis Sentis; Peter Stone 001 (CoRR, 2018)

Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots. - Yuqian Jiang; Fangkai Yang; Shiqi Zhang 001; Peter Stone 001 (CoRR, 2018)

Variety Wins: Soccer-Playing Robots and Infant Walking. - Ori Ossmy; Justine E. Hoch; Patrick MacAlpine; Shohan Hasan; Peter Stone 001; Karen E. Adolph (Frontiers Neurorobotics, 2018)

Selecting Compliant Agents for Opt-in Micro-Tolling. - Josiah P. Hanna; Guni Sharon; Stephen D. Boyles; Peter Stone 001 (AAAI, 2019)

Robust Motion Planning and Safety Benchmarking in Human Workspaces. - Shih-Yun Lo; Shani Alkoby; Peter Stone 001 (SafeAI@AAAI, 2019)

Open-World Reasoning for Service Robots. - Yuqian Jiang; Nick Walker 001; Justin W. Hart; Peter Stone 001 (ICAPS, 2019)

Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork - The STAR Framework: Extended Abstract. - Shani Alkoby; Avilash Rath; Peter Stone 001 (AAMAS, 2019)

Reducing Sampling Error in Policy Gradient Learning. - Josiah P. Hanna; Peter Stone 001 (AAMAS, 2019)

Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning. - Jacob Menashe; Peter Stone 001 (AAMAS, 2019)

Learning Curriculum Policies for Reinforcement Learning. - Sanmit Narvekar; Peter Stone 001 (AAMAS, 2019)

Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks. - Guni Sharon; Stephen D. Boyles; Shani Alkoby; Peter Stone 001 (AAMAS, 2019)

Adversarial Imitation Learning from State-only Demonstrations. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (AAMAS, 2019)

Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games. - Felipe Leno da Silva; Anna Helena Reali Costa; Peter Stone 001 (BRACIS, 2019)

Importance Sampling Policy Evaluation with an Estimated Behavior Policy. - Josiah Hanna; Scott Niekum; Peter Stone 001 (ICML, 2019)

Improving Grounded Natural Language Understanding through Human-Robot Dialog. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Nick Walker 001; Yuqian Jiang; Harel Yedidsion; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (ICRA, 2019)

Ad Hoc Teamwork With Behavior Switching Agents. - Manish Ravula; Shani Alkoby; Peter Stone 001 (IJCAI, 2019)

Imitation Learning from Video by Leveraging Proprioception. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IJCAI, 2019)

Recent Advances in Imitation Learning from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IJCAI, 2019)

Leveraging Human Guidance for Deep Reinforcement Learning Tasks. - Ruohan Zhang; Faraz Torabi; Lin Guan 003; Dana H. Ballard; Peter Stone 001 (IJCAI, 2019)

Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots. - Yuqian Jiang; Fangkai Yang; Shiqi Zhang 001; Peter Stone 001 (IROS, 2019)

UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions. - Patrick MacAlpine; Faraz Torabi; Brahma S. Pavse; Peter Stone 001 (RoboCup, 2019)

Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance. - Harel Yedidsion; Jacqueline Deans; Connor Sheehan; Mahathi Chillara; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (ICSR, 2019)

Multi-robot planning with conflicts and synergies. - Yuqian Jiang; Harel Yedidsion; Shiqi Zhang 001; Guni Sharon; Peter Stone 001 (Auton. Robots, 2019)

Sample-efficient Adversarial Imitation Learning from Observation. - Faraz Torabi; Sean Geiger; Garrett Warnell; Peter Stone 001 (CoRR, 2019)

Desiderata for Planning Systems in General-Purpose Service Robots. - Nick Walker 001; Yuqian Jiang; Maya Cakmak; Peter Stone 001 (CoRR, 2019)

Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report. - Rishi Shah; Yuqian Jiang; Haresh Karnan; Gilberto Briscoe-Martinez; Dominick Mulder; Ryan Gupta; Rachel Schlossman; Marika Murphy; Justin W. Hart; Luis Sentis; Peter Stone 001 (CoRR, 2019)

Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions. - Justin W. Hart; Reuth Mirsky; Stone Tejeda; Bonny Mahajan; Jamin Goo; Kathryn Baldauf; Sydney Owen; Peter Stone 001 (CoRR, 2019)

Task planning in robotics: an empirical comparison of PDDL- and ASP-based systems. - Yuqian Jiang; Shiqi Zhang 001; Piyush Khandelwal; Peter Stone 001 (Frontiers Inf. Technol. Electron. Eng., 2019)

The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling. - Elad Liebman; Maytal Saar-Tsechansky; Peter Stone 001 (MIS Q., 2019)

RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]. - Minoru Asada; Peter Stone 001; Manuela Veloso; Daniel D. Lee; Daniele Nardi (IEEE Robotics Autom. Mag., 2019)

Reinforcement Learning for Optimization of COVID-19 Mitigation Policies. - Varun Raj Kompella; Roberto Capobianco; Stacy Jong; Jonathan Browne; Spencer J. Fox; Lauren Ancel Meyers; Peter R. Wurman; Peter Stone 001 (AI4SG@AAAI Fall Symposium, 2020)

The Sequential Online Chore Division Problem - Definition and Application. - Harel Yedidsion; Shani Alkoby; Peter Stone 001 (AAMAS, 2020)

The EMPATHIC Framework for Task Learning from Implicit Human Feedback. - Yuchen Cui; Qiping Zhang; W. Bradley Knox; Alessandro Allievi; Peter Stone 001; Scott Niekum (CoRL, 2020)

Learning to Improve Multi-Robot Hallway Navigation. - Jin Soo Park; Brian Tsang; Harel Yedidsion; Garrett Warnell; Daehyun Kyoung; Peter Stone 001 (CoRL, 2020)

Reducing Sampling Error in Batch Temporal Difference Learning. - Brahma S. Pavse; Ishan Durugkar; Josiah Hanna; Peter Stone 001 (ICML, 2020)

Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. - Ishan Durugkar; Elad Liebman; Peter Stone 001 (IJCAI, 2020)

A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork. - Reuth Mirsky; William Macke; Andy Wang; Harel Yedidsion; Peter Stone 001 (IJCAI, 2020)

Stochastic Grounded Action Transformation for Robot Learning in Simulation. - Siddharth Desai; Haresh Karnan; Josiah P. Hanna; Garrett Warnell; Peter Stone 001 (IROS, 2020)

Reinforced Grounded Action Transformation for Sim-to-Real Transfer. - Haresh Karnan; Siddharth Desai; Josiah P. Hanna; Garrett Warnell; Peter Stone 001 (IROS, 2020)

Deep R-Learning for Continual Area Sweeping. - Rishi Shah; Yuqian Jiang; Justin W. Hart; Peter Stone 001 (IROS, 2020)

An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. - Siddharth Desai; Ishan Durugkar; Haresh Karnan; Garrett Warnell; Josiah Hanna; Peter Stone 001 (NeurIPS, 2020)

Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. - Lemeng Wu; Bo Liu 042; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2020)

Learning and Reasoning for Robot Dialog and Navigation Tasks. - Keting Lu; Shiqi Zhang 001; Peter Stone 001; Xiaoping Chen (SIGdial, 2020)

Using Human-Inspired Signals to Disambiguate Navigational Intentions. - Justin W. Hart; Reuth Mirsky; Xuesu Xiao; Stone Tejeda; Bonny Mahajan; Jamin Goo; Kathryn Baldauf; Sydney Owen; Peter Stone 001 (ICSR, 2020)

Benchmarking Metric Ground Navigation. - Daniel Perille; Abigail Truong; Xuesu Xiao; Peter Stone 001 (SSRR, 2020)

Agents teaching agents: a survey on inter-agent transfer learning. - Felipe Leno da Silva; Garrett Warnell; Anna Helena Reali Costa; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2020)

Special issue on autonomous agents modelling other agents: Guest editorial. - Stefano V. Albrecht; Peter Stone 001; Michael P. Wellman (Artif. Intell., 2020)

iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots. - Shiqi Zhang 001; Peter Stone 001 (CoRR, 2020)

Artificial Musical Intelligence: A Survey. - Elad Liebman; Peter Stone 001 (CoRR, 2020)

Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks. - Yuqian Jiang; Sudarshanan Bharadwaj; Bo Wu 005; Rishi Shah; Ufuk Topcu; Peter Stone 001 (CoRR, 2020)

Lifelong Navigation. - Bo Liu 042; Xuesu Xiao; Peter Stone 001 (CoRR, 2020)

An Imitation from Observation Approach to Sim-to-Real Transfer. - Siddharth Desai; Ishan Durugkar; Haresh Karnan; Garrett Warnell; Josiah Hanna; Peter Stone 001 (CoRR, 2020)

Extended Abstract: Motion Planners Learned from Geometric Hallucination. - Xuesu Xiao; Bo Liu 042; Peter Stone 001 (CoRR, 2020)

Human versus Machine Attention in Deep Reinforcement Learning Tasks. - Ruohan Zhang; Bo Liu 042; Yifeng Zhu; Sihang Guo; Mary M. Hayhoe; Dana H. Ballard; Peter Stone 001 (CoRR, 2020)

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (CoRR, 2020)

Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. - Dagmar Monett; Colin W. P. Lewis; Kristinn R. Thórisson; Joscha Bach; Gianluca Baldassarre; Giovanni Granato; Istvan S. N. Berkeley; François Chollet; Matthew Crosby; Henry Shevlin; John F. Sowa; John E. Laird; et al. (J. Artif. Gen. Intell., 2020)

The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation. - Shih-Yun Lo; Shiqi Zhang 001; Peter Stone 001 (J. Artif. Intell. Res., 2020)

Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Nick Walker 001; Yuqian Jiang; Harel Yedidsion; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (J. Artif. Intell. Res., 2020)

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. - Sanmit Narvekar; Bei Peng 001; Matteo Leonetti; Jivko Sinapov; Matthew E. Taylor; Peter Stone 001 (J. Mach. Learn. Res., 2020)

RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. - Brahma S. Pavse; Faraz Torabi; Josiah Hanna; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 2020)

APPLD: Adaptive Planner Parameter Learning From Demonstration. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Jonathan Fink; Peter Stone 001 (IEEE Robotics Autom. Lett., 2020)

Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. - Yuchen Cui; Qiping Zhang; Sahil Jain; Alessandro Allievi; Peter Stone 001; Scott Niekum; W. Bradley Knox (AAAI, 2021)

Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks. - Yuqian Jiang; Suda Bharadwaj; Bo Wu 005; Rishi Shah; Ufuk Topcu; Peter Stone 001 (AAAI, 2021)

Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. - Yu-Sian Jiang; Garrett Warnell; Peter Stone 001 (AAAI, 2021)

Expected Value of Communication for Planning in Ad Hoc Teamwork. - William Macke; Reuth Mirsky; Peter Stone 001 (AAAI, 2021)

Scalable Multiagent Driving Policies for Reducing Traffic Congestion. - Jiaxun Cui; William Macke; Harel Yedidsion; Aastha Goyal; Daniel Urieli; Peter Stone 001 (AAMAS, 2021)

The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care. - Reuth Mirsky; Peter Stone 001 (AAMAS, 2021)

Multiagent Epidemiologic Inference through Realtime Contact Tracing. - Guni Sharon; James Ault; Peter Stone 001; Varun Raj Kompella; Roberto Capobianco (AAMAS, 2021)

Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation. - Peter Stone 001 (ICARSC, 2021)

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. - Bo Liu 042; Qiang Liu 001; Peter Stone 001; Animesh Garg; Yuke Zhu; Anima Anandkumar (ICML, 2021)

Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation. - Blake Holman; Abrar Anwar; Akash Singh; Mauricio Tec; Justin W. Hart; Peter Stone 001 (ICRA, 2021)

Efficient Real-Time Inference in Temporal Convolution Networks. - Piyush Khandelwal; James MacGlashan; Peter R. Wurman; Peter Stone 001 (ICRA, 2021)

Towards Safe Motion Planning in Human Workspaces: A Robust Multi-agent Approach. - Shih-Yun Lo; Benito Fernandez; Peter Stone 001; Andrea Lockerd Thomaz (ICRA, 2021)

APPLI: Adaptive Planner Parameter Learning From Interventions. - Zizhao Wang; Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (ICRA, 2021)

Agile Robot Navigation through Hallucinated Learning and Sober Deployment. - Xuesu Xiao; Bo Liu 042; Peter Stone 001 (ICRA, 2021)

APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Zifan Xu; Gauraang Dhamankar; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Bo Liu 042; Zizhao Wang; Peter Stone 001 (ICRA, 2021)

A Scavenger Hunt for Service Robots. - Harel Yedidsion; Jennifer Suriadinata; Zifan Xu; Stefan Debruyn; Peter Stone 001 (ICRA, 2021)

Capturing Skill State in Curriculum Learning for Human Skill Acquisition. - Keya Ghonasgi; Reuth Mirsky; Sanmit Narvekar; Bharath Masetty; Adrian M. Haith; Peter Stone 001; Ashish D. Deshpande (IROS, 2021)

Team Orienteering Coverage Planning with Uncertain Reward. - Bo Liu 042; Xuesu Xiao; Peter Stone 001 (IROS, 2021)

DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IROS, 2021)

From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. - Zizhao Wang; Xuesu Xiao; Alexander J. Nettekoven; Kadhiravan Umasankar; Anika Singh; Sriram Bommakanti; Ufuk Topcu; Peter Stone 001 (IROS, 2021)

Adversarial Intrinsic Motivation for Reinforcement Learning. - Ishan Durugkar; Mauricio Tec; Scott Niekum; Peter Stone 001 (NeurIPS, 2021)

Machine versus Human Attention in Deep Reinforcement Learning Tasks. - Sihang Guo; Ruohan Zhang; Bo Liu 042; Yifeng Zhu; Dana H. Ballard; Mary M. Hayhoe; Peter Stone 001 (NeurIPS, 2021)

Conflict-Averse Gradient Descent for Multi-task learning. - Bo Liu 042; Xingchao Liu; Xiaojie Jin; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2021)

UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. - Patrick MacAlpine; Bo Liu 042; William Macke; Caroline Wang; Peter Stone 001 (RoboCup, 2021)

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning. - Zifan Xu; Xuesu Xiao; Garrett Warnell; Anirudh Nair; Peter Stone 001 (SSRR, 2021)

Recent advances in leveraging human guidance for sequential decision-making tasks. - Ruohan Zhang; Faraz Torabi; Garrett Warnell; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2021)

Sequential Online Chore Division for Autonomous Vehicle Convoy Formation. - Harel Yedidsion; Shani Alkoby; Peter Stone 001 (CoRR, 2021)

RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning. - Eddy Hudson; Garrett Warnell; Peter Stone 001 (CoRR, 2021)

Prevention and Resolution of Conflicts in Social Navigation - a Survey. - Reuth Mirsky; Xuesu Xiao; Justin W. Hart; Peter Stone 001 (CoRR, 2021)

Incorporating Gaze into Social Navigation. - Justin W. Hart; Reuth Mirsky; Xuesu Xiao; Peter Stone 001 (CoRR, 2021)

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction. - Yulin Zhang; William Macke; Jiaxun Cui; Daniel Urieli; Peter Stone 001 (CoRR, 2021)

Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. - Roberto Capobianco; Varun Raj Kompella; James Ault; Guni Sharon; Stacy Jong; Spencer J. Fox; Lauren Ancel Meyers; Peter R. Wurman; Peter Stone 001 (J. Artif. Intell. Res., 2021)

Grounded action transformation for sim-to-real reinforcement learning. - Josiah P. Hanna; Siddharth Desai; Haresh Karnan; Garrett Warnell; Peter Stone 001 (Mach. Learn., 2021)

Importance sampling in reinforcement learning with an estimated behavior policy. - Josiah P. Hanna; Scott Niekum; Peter Stone 001 (Mach. Learn., 2021)

A Lifelong Learning Approach to Mobile Robot Navigation. - Bo Liu 042; Xuesu Xiao; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain. - Xuesu Xiao; Joydeep Biswas; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

RoboCup 2021 Worldwide: A Successful Robotics Competition During a Pandemic [Competitions]. - Peter Stone 001; Luca Iocchi; Flavio Tonidandel; Changjiu Zhou (IEEE Robotics Autom. Mag., 2021)

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. - Alec Koppel; Garrett Warnell; Ethan Stump; Peter Stone 001; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2021)

APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. - Zizhao Wang; Xuesu Xiao; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

Continual Learning and Private Unlearning. - Bo Liu 042; Qiang Liu 001; Peter Stone 001 (CoLLAs, 2022)

A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects. - Shahaf S. Shperberg; Bo Liu 042; Alessandro Allievi; Peter Stone 001 (CoLLAs, 2022)

Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. - Yoonchang Sung; Zizhao Wang; Peter Stone 001 (CoRL, 2022)

VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. - Yifeng Zhu; Abhishek Joshi; Peter Stone 001; Yuke Zhu (CoRL, 2022)

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. - Jiaxun Cui; Hang Qiu 001; Dian Chen 005; Peter Stone 001; Yuke Zhu (CVPR, 2022)

Offline training of multi-agent reinforcement agents for grid-interactive buildings control. - Kingsley Nweye; Zoltán Nagy 002; Bo Liu 042; Peter Stone 001 (e-Energy, 2022)

A Survey of Ad Hoc Teamwork Research. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (EUMAS, 2022)

Effective mutation rate adaptation through group elite selection. - Akarsh Kumar; Bo Liu 042; Risto Miikkulainen; Peter Stone 001 (GECCO, 2022)

Causal Dynamics Learning for Task-Independent State Abstraction. - Zizhao Wang; Xuesu Xiao; Zifan Xu; Yuke Zhu; Peter Stone 001 (ICML, 2022)

Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. - Eddy Hudson; Garrett Warnell; Faraz Torabi; Peter Stone 001 (ICRA, 2022)

Adversarial Imitation Learning from Video Using a State Observer. - Haresh Karnan; Faraz Torabi; Garrett Warnell; Peter Stone 001 (ICRA, 2022)

VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. - Haresh Karnan; Garrett Warnell; Xuesu Xiao; Peter Stone 001 (ICRA, 2022)

Visually Grounded Task and Motion Planning for Mobile Manipulation. - Xiaohan Zhang 002; Yifeng Zhu; Yan Ding 002; Yuke Zhu; Peter Stone 001; Shiqi Zhang 001 (ICRA, 2022)

Dynamic Sparse Training for Deep Reinforcement Learning. - Ghada Sokar; Elena Mocanu; Decebal Constantin Mocanu; Mykola Pechenizkiy; Peter Stone 001 (IJCAI, 2022)

Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System. - Keya Ghonasgi; Reuth Mirsky; Adrian M. Haith; Peter Stone 001; Ashish D. Deshpande (IROS, 2022)

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. - Haresh Karnan; Kavan Singh Sikand; Pranav Atreya; Sadegh Rabiee; Xuesu Xiao; Garrett Warnell; Peter Stone 001; Joydeep Biswas (IROS, 2022)

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach. - Bo Liu 042; Mao Ye 006; Stephen Wright; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2022)

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. - James MacGlashan; Evan Archer; Alisa Devlic; Takuma Seno; Craig Sherstan; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2022)

Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. - Sai Kiran Narayanaswami; Mauricio Tec; Ishan Durugkar; Siddharth Desai; Bharath Masetty; Sanmit Narvekar; Peter Stone 001 (RoboCup, 2022)

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments. - Anirudh Nair; Fulin Jiang; Kang Hou; Zifan Xu; Shuozhe Li; Xuesu Xiao; Peter Stone 001 (SSRR, 2022)

Motion planning and control for mobile robot navigation using machine learning: a survey. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (Auton. Robots, 2022)

Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake. - Shahaf S. Shperberg; Bo Liu 042; Peter Stone 001 (CoRR, 2022)

A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (CoRR, 2022)

DM2: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. - Caroline Wang; Ishan Durugkar; Elad Liebman; Peter Stone 001 (CoRR, 2022)

High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization. - Pranav Atreya; Haresh Karnan; Kavan Singh Sikand; Xuesu Xiao; Garrett Warnell; Sadegh Rabiee; Peter Stone 001; Joydeep Biswas (CoRR, 2022)

Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. - Bo Liu 042; Yihao Feng; Qiang Liu 001; Peter Stone 001 (CoRR, 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (CoRR, 2022)

Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis. - Zifan Xu; Anirudh Nair; Xuesu Xiao; Peter Stone 001 (CoRR, 2022)

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors. - Yifeng Zhu; Abhishek Joshi; Peter Stone 001; Yuke Zhu (CoRR, 2022)

ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. - Eddy Hudson; Ishan Durugkar; Garrett Warnell; Peter Stone 001 (CoRR, 2022)

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. - Peter Stone 001; Rodney Brooks; Erik Brynjolfsson; Ryan Calo; Oren Etzioni; Greg Hager; Julia Hirschberg; Shivaram Kalyanakrishnan; Ece Kamar; Sarit Kraus; Kevin Leyton-Brown; David C. Parkes; et al. (CoRR, 2022)

Safe Evaluation For Offline Learning: Are We Ready To Deploy? - Hager Radi; Josiah P. Hanna; Peter Stone 001; Matthew E. Taylor (CoRR, 2022)

Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. - Peter R. Wurman; Peter Stone 001; Michael Spranger (IEEE Intell. Syst., 2022)

Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization. - Michael Albert 002; Vincent Conitzer; Giuseppe Lopomo; Peter Stone 001 (Oper. Res., 2022)

Outracing champion Gran Turismo drivers with deep reinforcement learning. - Peter R. Wurman; Samuel Barrett; Kenta Kawamoto; James MacGlashan; Kaushik Subramanian; Thomas J. Walsh 001; Roberto Capobianco; Alisa Devlic; Franziska Eckert; Florian Fuchs 004; Leilani Gilpin; Piyush Khandelwal; et al. (Nat., 2022)

Lucid dreaming for experience replay: refreshing past states with the current policy. - Yunshu Du; Garrett Warnell; Assefaw H. Gebremedhin; Peter Stone 001; Matthew E. Taylor (Neural Comput. Appl., 2022)

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. - Haresh Karnan; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Sören Pirk; Alexander Toshev; Justin W. Hart; Joydeep Biswas; Peter Stone 001 (IEEE Robotics Autom. Lett., 2022)

Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation. - Yifeng Zhu; Peter Stone 001; Yuke Zhu (IEEE Robotics Autom. Lett., 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (IEEE Robotics Autom. Mag., 2022)

APPL: Adaptive Planner Parameter Learning. - Xuesu Xiao; Zizhao Wang; Zifan Xu; Bo Liu 042; Garrett Warnell; Gauraang Dhamankar; Anirudh Nair; Peter Stone 001 (Robotics Auton. Syst., 2022)

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. - Bo Liu 042; Yihao Feng; Qiang Liu 001; Peter Stone 001 (AAAI, 2023)

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. - Serena Booth; W. Bradley Knox; Julie Shah; Scott Niekum; Peter Stone 001; Alessandro Allievi (AAAI, 2023)

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. - Caroline Wang; Ishan Durugkar; Elad Liebman; Peter Stone 001 (AAAI, 2023)

Task Phasing: Automated Curriculum Learning from Demonstrations. - Vaibhav Bajaj; Guni Sharon; Peter Stone 001 (ICAPS, 2023)

Relaxed Exploration Constrained Reinforcement Learning. - Shahaf S. Shperberg; Bo Liu 042; Peter Stone 001 (AAMAS, 2023)

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. - Caroline Wang; Garrett Warnell; Peter Stone 001 (AAMAS, 2023)

Model-Based Meta Automatic Curriculum Learning. - Zifan Xu; Yulin Zhang; Shahaf S. Shperberg; Reuth Mirsky; Yuqian Jiang; Bo Liu 042; Peter Stone 001 (CoLLAs, 2023)

STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. - Haresh Karnan; Elvin Yang; Daniel Farkash; Garrett Warnell; Joydeep Biswas; Peter Stone 001 (CoRL, 2023)

Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. - Yifeng Zhu; Zhenyu Jiang 002; Peter Stone 001; Yuke Zhu (CoRL, 2023)

Exploring the Cost of Interruptions in Human-Robot Teaming. - Swathi Mannem; William Macke; Peter Stone 001; Reuth Mirsky (Humanoids, 2023)

MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection. - Jiaxun Cui; Xiaomeng Yang; Mulong Luo; Geunbae Lee; Peter Stone 001; Hsien-Hsin S. Lee; Benjamin Lee; G. Edward Suh; Wenjie Xiong 001; Yuandong Tian (ICLR, 2023)

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. - Jin Soo Park; Xuesu Xiao; Garrett Warnell; Harel Yedidsion; Peter Stone 001 (ICRA, 2023)

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. - Zifan Xu; Bo Liu 042; Xuesu Xiao; Anirudh Nair; Peter Stone 001 (ICRA, 2023)

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. - Xiaohan Zhang 002; Yifeng Zhu; Yan Ding 002; Yuqian Jiang; Yuke Zhu; Peter Stone 001; Shiqi Zhang 001 (IROS, 2023)

A Novel Control Law for Multi-Joint Human-Robot Interaction Tasks While Maintaining Postural Coordination. - Keya Ghonasgi; Reuth Mirsky; Adrian M. Haith; Peter Stone 001; Ashish D. Deshpande (IROS, 2023)

f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. - Siddhant Agarwal; Ishan Durugkar; Peter Stone 001; Amy Zhang 001 (NeurIPS, 2023)

FAMO: Fast Adaptive Multitask Optimization. - Bo Liu 042; Yihao Feng; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2023)

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. - Bo Liu 042; Yifeng Zhu; Chongkai Gao; Yihao Feng; Qiang Liu 001; Yuke Zhu; Peter Stone 001 (NeurIPS, 2023)

ELDEN: Exploration via Local Dependencies. - Zizhao Wang; Jiaheng Hu; Peter Stone 001; Roberto Martín-Martín (NeurIPS, 2023)

Causal Policy Gradient for Whole-Body Mobile Manipulation. - Jiaheng Hu; Peter Stone 001; Roberto Martín-Martín (Robotics: Science and Systems, 2023)

Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search. - Yoonchang Sung; Peter Stone 001 (Robotics: Science and Systems, 2023)

"What's That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots. - Elliott Hauser; Yao-Cheng Chan; Parth Chonkar; Geethika Hemkumar; Huihai Wang; Daksh Dua; Shikhar Gupta; Efren Mendoza Enriquez; Tiffany Kao; Justin W. Hart; Reuth Mirsky; Joydeep Biswas; et al. (TAS, 2023)

Composing Efficient, Robust Tests for Policy Selection. - Dustin Morrill; Thomas J. Walsh 001; Daniel Hernandez; Peter R. Wurman; Peter Stone 001 (UAI, 2023)

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency. - Bo Liu 042; Yuqian Jiang; Xiaohan Zhang 002; Qiang Liu 001; Shiqi Zhang 001; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 001; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (CoRR, 2023)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023. - Xuesu Xiao; Zifan Xu; Garrett Warnell; Peter Stone 001; Ferran Gebelli Guinjoan; Rômulo T. Rodrigues; Herman Bruyninckx; Hanjaya Mandala; Guilherme Christmann; José Luis Blanco-Claraco; Shravan Somashekara Rai (CoRR, 2023)

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. - Arrasy Rahman; Jiaxun Cui; Peter Stone 001 (CoRR, 2023)

Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions. - Rohan Chandra; Vrushabh Zinage; Efstathios Bakolas; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

Utilizing Mood-Inducing Background Music in Human-Robot Interaction. - Elad Liebman; Peter Stone 001 (CoRR, 2023)

Targeted Learning: A Hybrid Approach to Social Robot Navigation. - Amir Hossain Raj; Zichao Hu; Haresh Karnan; Rohan Chandra; Amirreza Payandeh; Luisa Mao; Peter Stone 001; Joydeep Biswas; Xuesu Xiao (CoRR, 2023)

Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. - Haresh Karnan; Elvin Yang; Daniel Farkash; Garrett Warnell; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home. - Sveta Paster; Kantwon Rogers; Gordon Briggs; Peter Stone 001; Reuth Mirsky (CoRR, 2023)

Latent Skill Discovery for Chain-of-Thought Reasoning. - Zifan Xu; Haozhu Wang; Dmitriy Bespalov; Peter Stone 001; Yanjun Qi (CoRR, 2023)

Event Tables for Efficient Experience Replay. - Varun Raj Kompella; Thomas Walsh 001; Samuel Barrett; Peter R. Wurman; Peter Stone 001 (Trans. Mach. Learn. Res., 2023)

Reward (Mis)design for autonomous driving. - W. Bradley Knox; Alessandro Allievi; Holger Banzhaf; Felix Schmitt 001; Peter Stone 001 (Artif. Intell., 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

Multimodal embodied attribute learning by robots for object-centric action policies. - Xiaohan Zhang 002; Saeid Amiri; Jivko Sinapov; Jesse Thomason; Peter Stone 001; Shiqi Zhang 001 (Auton. Robots, 2023)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]. - Xuesu Xiao; Zifan Xu; Garrett Warnell; Peter Stone 001; Ferran Gebelli Guinjoan; Rômulo T. Rodrigues; Herman Bruyninckx; Hanjaya Mandala; Guilherme Christmann; José Luis Blanco-Claraco; Shravan Somashekara Rai (IEEE Robotics Autom. Mag., 2023)

Reward (Mis)design for Autonomous Driving (Abstract Reprint). - W. Bradley Knox; Alessandro Allievi; Holger Banzhaf; Felix Schmitt 001; Peter Stone 001 (AAAI, 2024)

Learning Optimal Advantage from Preferences and Mistaking It for Reward. - W. Bradley Knox; Stephane Hatgis-Kessell; Sigurdur O. Adalgeirsson; Serena Booth; Anca D. Dragan; Peter Stone 001; Scott Niekum (AAAI, 2024)

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. - Muhammad Rahman 008; Jiaxun Cui; Peter Stone 001 (AAAI, 2024)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. - Zizhao Wang; Caroline Wang; Xuesu Xiao; Yuke Zhu; Peter Stone 001 (AAAI, 2024)

Real-Time Trajectory Generation via Dynamic Movement Primitives for Autonomous Racing. - Catherine Weaver; Roberto Capobianco; Peter R. Wurman; Peter Stone 001; Masayoshi Tomizuka (ACC, 2024)

Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. - William Yue; Bo Liu 042; Peter Stone 001 (AAMAS, 2024)

t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. - William Yue; Bo Liu 042; Peter Stone 001 (CoLLAs, 2024)

Learning to Look: Seeking Information for Decision Making via Policy Factorization. - Shivin Dass; Jiaheng Hu; Ben Abbatematteo; Peter Stone 001; Roberto Martín-Martín (CoRL, 2024)

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning. - Zifan Xu; Haozhu Wang; Dmitriy Bespalov; Xian Wu 008; Peter Stone 001; Yanjun Qi (EMNLP (Findings), 2024)

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. - Ziping Xu; Zifan Xu; Runxuan Jiang; Peter Stone 001; Ambuj Tewari (ICLR, 2024)

Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning. - Haresh Karnan; Elvin Yang; Garrett Warnell; Joydeep Biswas; Peter Stone 001 (ICRA, 2024)

Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds. - Amir Hossain Raj; Zichao Hu; Haresh Karnan; Rohan Chandra; Amirreza Payandeh; Luisa Mao; Peter Stone 001; Joydeep Biswas; Xuesu Xiao (ICRA, 2024)

Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning. - Yoonchang Sung; Rahul Shome; Peter Stone 001 (ICRA, 2024)

Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning. - Zifan Xu; Amir Hossain Raj; Xuesu Xiao; Peter Stone 001 (ICRA, 2024)

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning. - Jiaheng Hu; Zizhao Wang; Peter Stone 001; Roberto Martín-Martín (NeurIPS, 2024)

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration. - Borja G. León; Francesco Riccio; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2024)

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions. - Zizhao Wang; Jiaheng Hu; Caleb Chuck; Stephen Chen; Roberto Martín-Martín; Amy Zhang 001; Scott Niekum; Peter Stone 001 (NeurIPS, 2024)

N-agent Ad Hoc Teamwork. - Caroline Wang; Arrasy Rahman; Ishan Durugkar; Elad Liebman; Peter Stone 001 (NeurIPS, 2024)

Multistep Inverse Is Not All You Need. - Alexander Levine 001; Peter Stone 001; Amy Zhang 001 (RLJ, 2024)

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. - Miguel Vasco; Takuma Seno; Kenta Kawamoto; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (RLJ, 2024)

Dobby: A Conversational Service Robot Driven by GPT-4. - Carson Stark; Bohkyung Chun; Casey Charleston; Varsha Ravi; Luis Pabon; Surya Sunkari; Tarun Mohan; Peter Stone 001; Justin W. Hart (RO-MAN, 2024)

TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. - Shivin Dass; Wensi Ai; Yuqian Jiang; Samik Singh; Jiaheng Hu; Ruohan Zhang; Peter Stone 001; Ben Abbatematteo; Roberto Martín-Martín (CoRR, 2024)

Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. - Saad Abdul Ghani; Zizhao Wang; Peter Stone 001; Xuesu Xiao (CoRR, 2024)

Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice. - Eric Horvitz; Vincent Conitzer; Sheila A. McIlraith; Peter Stone 001 (CoRR, 2024)

Multi-Agent Synchronization Tasks. - Rolando Fernandez; Garrett Warnell; Derrik E. Asher; Peter Stone 001 (CoRR, 2024)

Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. - Caleb Chuck; Carl Qi; Michael J. Munje; Shuozhe Li; Max Rudolph; Chang Shi; Siddhant Agarwal; Harshit Sikchi; Abhinav Peri; Sarthak Dayal; Evan Kuo; Kavan Mehta; et al. (CoRR, 2024)

Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds. - Rohan Chandra; Haresh Karnan; Negar Mehr; Peter Stone 001; Joydeep Biswas (CoRR, 2024)

Vision-based Manipulation from Single Human Video with Open-World Object Graphs. - Yifeng Zhu; Arisrei Lim; Peter Stone 001; Yuke Zhu (CoRR, 2024)

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention. - Yuxin Chen; Chen Tang 001; Chenran Li; Ran Tian; Peter Stone 001; Masayoshi Tomizuka; Wei Zhan (CoRR, 2024)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. - Xuesu Xiao; Zifan Xu; Aniket Datar; Garrett Warnell; Peter Stone 001; Joshua Julian Damanik; Jaewon Jung; Chala Adane Deresa; Than Duc Huy; Chen Jinyu; Chen Yichen; Joshua Adrian Cahyono; et al. (CoRR, 2024)

PRESTO: Fast motion planning using diffusion models based on key-configuration environment representation. - Mingyo Seo; Yoonyoung Cho; Yoonchang Sung; Peter Stone 001; Yuke Zhu; Beomjoon Kim (CoRR, 2024)

FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. - Jiaheng Hu; Rose Hendrix; Ali Farhadi; Aniruddha Kembhavi; Roberto Martin Martin; Peter Stone 001; Kuo-Hao Zeng; Kiana Ehsani (CoRR, 2024)

Grounded Curriculum Learning. - Linji Wang; Zifan Xu; Peter Stone 001; Xuesu Xiao (CoRR, 2024)

Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting. - Bo Liu 042; Mao Ye 006; Peter Stone 001; Qiang Liu 001 (CoRR, 2024)

Effort Allocation for Deadline-Aware Task and Motion Planning: A Metareasoning Approach. - Yoonchang Sung; Shahaf S. Shperberg; Qi Wang; Peter Stone 001 (CoRR, 2024)

Learning Memory Mechanisms for Decision Making through Demonstrations. - William Yue; Bo Liu 042; Peter Stone 001 (CoRR, 2024)

Proto Successor Measure: Representing the Space of All Possible Solutions of Reinforcement Learning. - Siddhant Agarwal; Harshit Sikchi; Peter Stone 001; Amy Zhang 001 (CoRR, 2024)

RL Zero: Zero-Shot Language to Behaviors without any Supervision. - Harshit Sikchi; Siddhant Agarwal; Pranaya Jajoo; Samyak Parajuli; Caleb Chuck; Max Rudolph; Peter Stone 001; Amy Zhang 001; Scott Niekum (CoRR, 2024)

Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. - Adam Labiosa; Zhihan Wang; Siddhant Agarwal; William Cong; Geethika Hemkumar; Abhinav Narayan Harish; Benjamin Hong; Josh Kelle; Chen Li; Yuhao Li; Zisen Shao; Peter Stone 001; et al. (CoRR, 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

iCORPP: Interleaved commonsense reasoning and probabilistic planning on robots. - Shiqi Zhang 001; Piyush Khandelwal; Peter Stone 001 (Robotics Auton. Syst., 2024)

Conflict Avoidance in Social Navigation - a Survey. - Reuth Mirsky; Xuesu Xiao; Justin W. Hart; Peter Stone 001 (ACM Trans. Hum. Robot Interact., 2024)

Models of human preference for learning reward functions. - W. Bradley Knox; Stephane Hatgis-Kessell; Serena Booth; Scott Niekum; Peter Stone 001; Alessandro Gabriele Allievi (Trans. Mach. Learn. Res., 2024)

The human in the loop Perspectives and challenges for RoboCup 2050. - Alessandra Rossi 001; Maike Paetzel-Prüsmann; Merel Keijsers; Michael Anderson 001; Susan Leigh Anderson; Daniel Barry; Jan Gutsche; Justin W. Hart; Luca Iocchi; Ainse Kokkelmans; Wouter Kuijpers; Yun Liu; et al. (Auton. Robots, 2024)

Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice. - Eric Horvitz; Vincent Conitzer; Sheila A. McIlraith; Peter Stone 001 (Commun. ACM, 2024)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]. - Xuesu Xiao; Zifan Xu; Aniket Datar; Garrett Warnell; Peter Stone 001; Joshua Julian Damanik; Jaewon Jung; Chala Adane Deresa; Than Duc Huy; Chen Jinyu; Chen Yichen; Joshua Adrian Cahyono; et al. (IEEE Robotics Autom. Mag., 2024)

The Essentials of AI for Life and Society: An AI Literacy Course for the University Community. - Joydeep Biswas; Don Fussell; Peter Stone 001; Kristin Patterson; Kristen Procko; Lea Sabatini; Zifan Xu (AAAI, 2025)

Argus: A Compact and Versatile Foundation Model for Vision. - Weiming Zhuang; Chen Chen 043; Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Jiabo Huang; Vikash Sehwag; Vivek Sharma 001; Hirotaka Shinozaki; Felan Carlo Garcia; Yihao Zhan; Naohiro Adachi; et al. (CVPR, 2025)

Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. - Alexander Levine 001; Peter Stone 001; Amy Zhang 001 (ICLR, 2025)

Longhorn: State Space Models are Amortized Online Learners. - Bo Liu 042; Rui Wang; Lemeng Wu; Yihao Feng; Peter Stone 001; Qiang Liu 001 (ICLR, 2025)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. - Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone 001; Takuma Seno (ICLR, 2025)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. - Chen Tang 001; Ben Abbatematteo; Jiaheng Hu; Rohan Chandra; Roberto Martín-Martín; Peter Stone 001 (Annu. Rev. Control. Robotics Auton. Syst., 2025)

Artificial Intelligence: Looking Forward 15 Years. - Peter Stone 001 (IEEE Intell. Syst., 2025)

SafeZone*: A Graph-Based and Time-Optimal Cooperative 3D Printing Framework. - Peter Stone 001; Matthew Ebert; Wenchao Zhou; Ergun Akleman; Vinayak R. Krishnamurthy; Zhenghui Sha (J. Comput. Inf. Sci. Eng., 2025)

Influencing Humans to Conform to Preference Models for RLHF. - Stephane Hatgis-Kessell; W. Bradley Knox; Serena Booth; Scott Niekum; Peter Stone 001 (CoRR, 2025)

Hyperspherical Normalization for Scalable Deep Reinforcement Learning. - Hojoon Lee; Youngdo Lee; Takuma Seno; Donghu Kim; Peter Stone 001; Jaegul Choo (CoRR, 2025)

Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets. - Alexander Levine 001; Peter Stone 001; Amy Zhang 001 (CoRR, 2025)

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play. - Jiaxun Cui; Chen Tang 001; Jarrett Holtz; Janice Nguyen; Alessandro Gabriele Allievi; Hang Qiu 001; Peter Stone 001 (CoRR, 2025)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork. - Caroline Wang; Arrasy Rahman; Jiaxun Cui; Yoonchang Sung; Peter Stone 001 (CoRR, 2025)

pacer: Preference-Conditioned All-Terrain Costmap Generation. - Luisa Mao; Garrett Warnell; Peter Stone 001; Joydeep Biswas (IEEE Robotics Autom. Lett., 2025)

Deadlock-free, safe, and decentralized multi-robot navigation in social mini-games via discrete-time control barrier functions. - Rohan Chandra; Vrushabh Zinage; Efstathios Bakolas; Peter Stone 001; Joydeep Biswas (Auton. Robots, 2025)

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL. - Jiaheng Hu; Peter Stone 001; Roberto Martín-Martín (CoRR, 2025)

Sequence Modeling for N-Agent Ad Hoc Teamwork. - Caroline Wang; Di Yang Shi; Elad Liebman; Ishan Durugkar; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)

A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon. - Cameron Angliss; Jiaxun Cui; Jiaheng Hu; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)

A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. - Hojoon Lee; Takuma Seno; Jun Jet Tai; Kaushik Subramanian; Kenta Kawamoto; Peter Stone 001; Peter R. Wurman (IEEE Robotics Autom. Lett., 2025)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 002; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (ACM Trans. Hum. Robot Interact., 2025)

Dyn-O: Building Structured World Models with Object-Centric Representations. - Zizhao Wang; Kaixin Wang; Li Zhao; Peter Stone 001; Jiang Bian (CoRR, 2025)

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks. - Viraj Joshi; Zifan Xu; Bo Liu 042; Peter Stone 001; Amy Zhang 001 (CoRR, 2025)

L3M+P: Lifelong Planning with Large Language Models. - Krish Agarwal; Yuqian Jiang; Jiaheng Hu; Bo Liu 042; Peter Stone 001 (CoRR, 2025)

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring. - Linji Wang; Zifan Xu; Peter Stone 001; Xuesu Xiao (CoRR, 2025)