HydroGen: Automatically Generating Self-Assembly Code for Hydron Units. - George Dimitri Konidaris; Tim Taylor 001; John Hallam (DARS, 2004)

METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development. - Finlay Stewart; Tim Taylor 001; George Dimitri Konidaris (ECAL, 2005)

An Architecture for Behavior-Based Reinforcement Learning. - George Dimitri Konidaris; Gillian M. Hayes (Adapt. Behav., 2005)

Autonomous shaping: knowledge transfer in reinforcement learning. - George Dimitri Konidaris; Andrew G. Barto (ICML, 2006)

An Adaptive Robot Motivational System. - George Dimitri Konidaris; Andrew G. Barto (SAB, 2006)

Language performance at high school and success in first year computer science. - Sarah Rauchas; Benjamin Rosman; George Dimitri Konidaris; Ian D. Sanders (SIGCSE, 2006)

Building Portable Options: Skill Transfer in Reinforcement Learning. - George Dimitri Konidaris; Andrew G. Barto (IJCAI, 2007)

A forward model of optic flow for detecting external forces. - Leonidas Georgopoulos; Gillian M. Hayes; George Dimitri Konidaris (IROS, 2007)

Autonomous Robot Skill Acquisition. - George Dimitri Konidaris (AAAI, 2008)

Efficient Skill Learning using Abstraction Selection. - George Dimitri Konidaris; Andrew G. Barto (IJCAI, 2009)

Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining. - George Dimitri Konidaris; Andrew G. Barto (NIPS, 2009)

Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories. - George Dimitri Konidaris; Scott Kuindersma; Andrew G. Barto; Roderic A. Grupen (NIPS, 2010)

Autonomous Skill Acquisition on a Mobile Manipulator. - George Dimitri Konidaris; Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (AAAI, 2011)

Value Function Approximation in Reinforcement Learning Using the Fourier Basis. - George Dimitri Konidaris; Sarah Osentoski; Philip S. Thomas (AAAI, 2011)

TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning. - George Dimitri Konidaris; Scott Niekum; Philip S. Thomas (NIPS, 2011)

Learning Parameterized Skills. - Bruno Castro da Silva; George Dimitri Konidaris; Andrew G. Barto (ICML, 2012)

LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. - Alejandro Perez; Robert Platt Jr. 001; George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2012)

Learning and generalization of complex tasks from unstructured demonstrations. - Scott Niekum; Sarah Osentoski; George Dimitri Konidaris; Andrew G. Barto (IROS, 2012)

Reports of the AAAI 2012 Spring Symposia. - Harith Alani; Bo An 001; Manish Jain; Takashi Kido; George Dimitri Konidaris; William F. Lawless; David L. Martin 001; Caroline Pantofaru; Donald A. Sofge; Keiki Takadama; Milind Tambe; Tomas Vitvar (AI Mag., 2012)

Robot learning from demonstration by constructing skill trees. - George Dimitri Konidaris; Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (Int. J. Robotics Res., 2012)

Transfer in Reinforcement Learning via Shared Features. - George Dimitri Konidaris; Ilya Scheidwasser; Andrew G. Barto (J. Mach. Learn. Res., 2012)

Behavioral Hierarchy: Exploration and Representation. - Andrew G. Barto; George Dimitri Konidaris; Christopher M. Vigorito (Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013)

Symbol Acquisition for Task-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI Workshop: Learning Rich Representations from Low-Level Sensors, 2013)

Optimal sampling-based planning for linear-quadratic kinodynamic systems. - Gustavo Goretkin; Alejandro Perez; Robert Platt Jr. 001; George Dimitri Konidaris (ICRA, 2013)

Robots, skills, and symbols. - George Dimitri Konidaris (MLIS@IJCAI, 2013)

The AAAI-13 Conference Workshops. - Vikas Agrawal; Christopher Archibald; Mehul Bhatt; Hung Bui 001; Diane J. Cook; Juan Cortés; Christopher W. Geib; Vibhav Gogate; Hans W. Guesgen; Dietmar Jannach; Michael Johanson; Kristian Kersting; et al. (AI Mag., 2013)

Reports of the 2013 AAAI Spring Symposium Series. - Vita Markman; Georgi Stojanov; Bipin Indurkhya; Takashi Kido; Keiki Takadama; George Dimitri Konidaris; Eric Eaton; Naohiro Matsumura; Renate Fruchter; Donald A. Sofge; William F. Lawless; Omid Madani; et al. (AI Mag., 2013)

Optimizing a Start-Stop Controller Using Policy Search. - Noel Hollingsworth; Jason Meyer; Ryan McGee; Jeffrey Doering; George Dimitri Konidaris; Leslie Pack Kaelbling (AAAI, 2014)

Constructing Symbolic Representations for High-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2014)

Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks. - George Dimitri Konidaris; Finale Doshi-Velez (AAAI Fall Symposia, 2014)

Planning with macro-actions in decentralized POMDPs. - Christopher Amato; George Dimitri Konidaris; Leslie Pack Kaelbling (AAMAS, 2014)

Active Learning of Parameterized Skills. - Bruno Castro da Silva; George Dimitri Konidaris; Andrew G. Barto (ICML, 2014)

Learning parameterized motor skills on a humanoid robot. - Bruno Castro da Silva; Gianluca Baldassarre; George Dimitri Konidaris; Andrew G. Barto (ICRA, 2014)

Probabilistic Planning for Decentralized Multi-Robot Systems. - Christopher Amato; George Dimitri Konidaris; Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Jonathan P. How; Leslie Pack Kaelbling (AAAI Fall Symposia, 2015)

Planning for decentralized control of multiple robots under uncertainty. - Christopher Amato; George Dimitri Konidaris; Gabriel Cruz; Christopher A. Maynor; Jonathan P. How; Leslie Pack Kaelbling (ICRA, 2015)

Symbol Acquisition for Probabilistic High-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IJCAI, 2015)

Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. - Pravesh Ranchod; Benjamin Rosman; George Dimitri Konidaris (IROS, 2015)

Policy Evaluation Using the Ω-Return. - Philip S. Thomas; Scott Niekum; Georgios Theocharous; George Dimitri Konidaris (NIPS, 2015)

Reports of the AAAI 2014 Conference Workshops. - Stefano V. Albrecht; André da Motta Salles Barreto; Darius Braziunas; David L. Buckeridge; Heriberto Cuayáhuitl; Nina Dethlefs; Markus Endres; Amir-massoud Farahmand; Mark Fox; Lutz Frommberger; Sam Ganzfried; Yolanda Gil; et al. (AI Mag., 2015)

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. - Robert Morris 004; Blai Bonet; Marc Cavazza; Marie desJardins; Ariel Felner; Nick Hawes; Brad Knox; Sven Koenig; George Dimitri Konidaris; Jérôme Lang; Carlos Linares López; Daniele Magazzeni; et al. (AI Mag., 2015)

Reinforcement Learning with Parameterized Actions. - Warwick Masson; George Dimitri Konidaris (CoRR, 2015)

Learning grounded finite-state representations from unstructured demonstrations. - Scott Niekum; Sarah Osentoski; George Dimitri Konidaris; Sachin Chitta; Bhaskara Marthi; Andrew G. Barto (Int. J. Robotics Res., 2015)

Regularized feature selection in reinforcement learning. - Dean S. Wookey; George Dimitri Konidaris (Mach. Learn., 2015)

Reinforcement Learning with Parameterized Actions. - Warwick Masson; Pravesh Ranchod; George Dimitri Konidaris (AAAI, 2016)

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. - Finale Doshi-Velez; George Dimitri Konidaris (IJCAI, 2016)

Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. - George Dimitri Konidaris (IJCAI, 2016)

The microarchitecture of a real-time robot motion planning accelerator. - Sean Murray; William Floyd-Jones; Ying Qi; George Dimitri Konidaris; Daniel J. Sorin (MICRO, 2016)

Robot Motion Planning on a Chip. - Sean Murray; Will Floyd-Jones; Ying Qi; Daniel J. Sorin; George Dimitri Konidaris (Robotics: Science and Systems, 2016)

Representing and Learning Complex Object Interactions. - Yilun Zhou; George Dimitri Konidaris (Robotics: Science and Systems, 2016)

Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. - Taylor W. Killian; George Dimitri Konidaris; Finale Doshi-Velez (CoRR, 2016)

Policy search for multi-robot coordination under uncertainty. - Christopher Amato; George Dimitri Konidaris; Ariel Anders; Gabriel Cruz; Jonathan P. How; Leslie Pack Kaelbling (Int. J. Robotics Res., 2016)

Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14). - Tadahiro Taniguchi; Emre Ugur; George Dimitri Konidaris (NII Shonan Meet. Rep., 2016)

An Analysis of Monte Carlo Tree Search. - Steven James 001; George Dimitri Konidaris; Benjamin Rosman (AAAI, 2017)

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. - Taylor W. Killian; George Dimitri Konidaris; Finale Doshi-Velez (AAAI, 2017)

Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays. - Eric Rosen; David Whitney; Elizabeth Phillips; Gary Chien; James Tompkin 001; George Dimitri Konidaris; Stefanie Tellex (ISRR, 2017)

Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality. - David Whitney; Eric Rosen; Elizabeth Phillips; George Dimitri Konidaris; Stefanie Tellex (ISRR, 2017)

Active Exploration for Learning Symbolic Representations. - Garrett Andersen; George Dimitri Konidaris (NIPS, 2017)

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. - Taylor W. Killian; Samuel Daulton; Finale Doshi-Velez; George Dimitri Konidaris (NIPS, 2017)

Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception. - Benjamin Burchfiel; George Dimitri Konidaris (Robotics: Science and Systems, 2017)

Mean Actor Critic. - Kavosh Asadi; Cameron Allen; Melrose Roderick; Abdel-rahman Mohamed; George Dimitri Konidaris; Michael L. Littman (CoRR, 2017)

Policy and Value Transfer in Lifelong Reinforcement Learning. - David Abel; Yuu Jinnai; Yue (Sophie) Guo; George Dimitri Konidaris; Michael L. Littman (ICML, 2018)

Learning Symbolic Representations for Planning with Parameterized Skills. - Barrett Ames; Allison Thackston; George Dimitri Konidaris (IROS, 2018)

Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. - Benjamin Burchfiel; George Dimitri Konidaris (IROS, 2018)

Representing, learning, and controlling complex object interactions. - Yilun Zhou; Benjamin Burchfiel; George Dimitri Konidaris (Auton. Robots, 2018)

Finding Options that Minimize Planning Time. - Yuu Jinnai; David Abel; Michael L. Littman; George Dimitri Konidaris (CoRR, 2018)

From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (J. Artif. Intell. Res., 2018)

A Programmable Architecture for Robot Motion Planning Acceleration. - Sean Murray; Will Floyd-Jones; George Dimitri Konidaris; Daniel J. Sorin (ASAP, 2019)

Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. - Seungchan Kim; Kavosh Asadi; Michael L. Littman; George Dimitri Konidaris (AAMAS, 2019)

Learning to Generalize Kinematic Models to Novel Objects. - Ben Abbatematteo; Stefanie Tellex; George Konidaris 001 (CoRL, 2019)

Learning Multi-Level Hierarchies with Hindsight. - Andrew Levy; George Dimitri Konidaris; Robert Platt Jr. 001; Kate Saenko (ICLR (Poster), 2019)

Finding Options that Minimize Planning Time. - Yuu Jinnai; David Abel; David Ellis Hershkowitz; Michael L. Littman; George Dimitri Konidaris (ICML, 2019)

Discovering Options for Exploration by Minimizing Cover Time. - Yuu Jinnai; Jee Won Park; David Abel; George Dimitri Konidaris (ICML, 2019)

Scanning the Internet for ROS: A View of Security in Robotics Research. - Nicholas DeMarinis; Stefanie Tellex; Vasileios P. Kemerlis; George Dimitri Konidaris; Rodrigo Fonseca (ICRA, 2019)

End-User Robot Programming Using Mixed Reality. - Samir Yitzhak Gadre; Eric Rosen; Gary Chien; Elizabeth Phillips; Stefanie Tellex; George Dimitri Konidaris (ICRA, 2019)

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. - Seungchan Kim; Kavosh Asadi; Michael L. Littman; George Dimitri Konidaris (IJCAI, 2019)

Bounded-Error LQR-Trees. - Barrett Ames; George Dimitri Konidaris (IROS, 2019)

Grounding Language Attributes to Objects using Bayesian Eigenobjects. - Vanya Cohen; Benjamin Burchfiel; Thao Nguyen; Nakul Gopalan; Stefanie Tellex; George Dimitri Konidaris (IROS, 2019)

Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. - Adam Pacheck; George Konidaris 001; Hadas Kress-Gazit (ISRR, 2019)

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. - Craig J. Bester; Steven D. James; George Dimitri Konidaris (CoRR, 2019)

Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. - Benjamin Burchfiel; George Dimitri Konidaris (CoRR, 2019)

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. - Jonathan Chang; Nishanth Kumar; Sean Hastings; Aaron Gokaslan; Diego Romeres; Devesh K. Jha; Daniel Nikovski; George Dimitri Konidaris; Stefanie Tellex (CoRR, 2019)

Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays. - Eric Rosen; David Whitney; Elizabeth Phillips; Gary Chien; James Tompkin 001; George Dimitri Konidaris; Stefanie Tellex (Int. J. Robotics Res., 2019)

Modeling and Planning with Macro-Actions in Decentralized POMDPs. - Christopher Amato; George Dimitri Konidaris; Leslie Pack Kaelbling; Jonathan P. How (J. Artif. Intell. Res., 2019)

Task Scoping for Efficient Planning in Open Worlds (Student Abstract). - Nishanth Kumar; Michael Fishman 001; Natasha Danas; Stefanie Tellex; Michael Littman 002; George Konidaris 001 (AAAI, 2020)

Option Discovery using Deep Skill Chaining. - Akhil Bagaria; George Konidaris 001 (ICLR, 2020)

Exploration in Reinforcement Learning with Deep Covering Options. - Yuu Jinnai; Jee Won Park; Marlos C. Machado; George Dimitri Konidaris (ICLR, 2020)

Learning Portable Representations for High-Level Planning. - Steven James 001; Benjamin Rosman; George Konidaris 001 (ICML, 2020)

Roadmap Subsampling for Changing Environments. - Sean Murray; George Dimitri Konidaris; Daniel J. Sorin (IROS, 2020)

Building Plannable Representations with Mixed Reality. - Eric Rosen; Nishanth Kumar; Nakul Gopalan; Daniel Ullman 002; George Konidaris 001; Stefanie Tellex (IROS, 2020)

Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. - Nakul Gopalan; Eric Rosen; George Konidaris 001; Stefanie Tellex (Robotics: Science and Systems, 2020)

Deep RBF Value Functions for Continuous Control. - Kavosh Asadi; Ronald E. Parr; George Dimitri Konidaris; Michael L. Littman (CoRR, 2020)

Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. - Cameron Allen; Tim Klinger; George Konidaris 001; Matthew Riemer; Gerald Tesauro (CoRR, 2020)

Steps Towards Best Practices For Robot Videos. - Eric Rosen; Stefanie Tellex; George Konidaris 001 (CoRR, 2020)

Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. - Nishanth Kumar; Michael Fishman 001; Natasha Danas; Michael Littman 002; Stefanie Tellex; George Konidaris 001 (CoRR, 2020)

Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration. - Brenton Keller; Mark Draelos; Kevin Zhou; Ruobing Qian; Anthony N. Kuo; George Konidaris 001; Kris Hauser; Joseph A. Izatt (IEEE Trans. Robotics, 2020)

Deep Radial-Basis Value Functions for Continuous Control. - Kavosh Asadi; Neev Parikh; Ronald E. Parr; George Dimitri Konidaris; Michael L. Littman (AAAI, 2021)

Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. - Josh Roy; George Dimitri Konidaris (AAAI, 2021)

Skill Discovery for Exploration and Planning using Deep Skill Graphs. - Akhil Bagaria; Jason K. Senthil; George Konidaris 001 (ICML, 2021)

Learning Collaborative Pushing and Grasping Policies in Dense Clutter. - Bingjie Tang; Matthew Corsaro; George Konidaris 001; Stefanos Nikolaidis; Stefanie Tellex (ICRA, 2021)

Efficient Black-Box Planning Using Macro-Actions with Focused Effects. - Cameron Allen; Michael Katz 001; Tim Klinger; George Konidaris 001; Matthew Riemer; Gerald Tesauro (IJCAI, 2021)

Robustly Learning Composable Options in Deep Reinforcement Learning. - Akhil Bagaria; Jason K. Senthil; Matthew Slivinski; George Konidaris 001 (IJCAI, 2021)

Bootstrapping Motor Skill Learning with Motion Planning. - Ben Abbatematteo; Eric Rosen; Stefanie Tellex; George Dimitri Konidaris (IROS, 2021)

Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. - Matt Corsaro; Stefanie Tellex; George Dimitri Konidaris (IROS, 2021)

Multi-Resolution POMDP Planning for Multi-Object Search in 3D. - Kaiyu Zheng; Yoonchang Sung; George Konidaris 001; Stefanie Tellex (IROS, 2021)

Learning Markov State Abstractions for Deep Reinforcement Learning. - Cameron Allen; Neev Parikh; Omer Gottesman; George Konidaris 001 (NeurIPS, 2021)

Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. - Sreehari Rammohan; Shangqun Yu; Bowen He; Eric Hsiung; Eric Rosen; Stefanie Tellex; George Konidaris 001 (CoRR, 2021)

HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning. - Willie McClinton; Andrew Levy; George Konidaris 001 (CoRR, 2021)

Coarse-Grained Smoothness for RL in Metric Spaces. - Omer Gottesman; Kavosh Asadi; Cameron Allen; Sam Lobel; George Konidaris 001; Michael Littman 002 (CoRR, 2021)

Guided Policy Search for Parameterized Skills using Adverbs. - Benjamin A. Spiegel; George Konidaris 001 (CoRR, 2021)

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. - Oliver Kroemer; Scott Niekum; George Konidaris 001 (J. Mach. Learn. Res., 2021)

Optimistic Initialization for Exploration in Continuous Control. - Sam Lobel; Omer Gottesman; Cameron Allen; Akhil Bagaria; George Konidaris 001 (AAAI, 2022)

Autonomous Learning of Object-Centric Abstractions for High-Level Planning. - Steven James 001; Benjamin Rosman; George Konidaris 001 (ICLR, 2022)

Learning to Infer Kinematic Hierarchies for Novel Object Instances. - Hameed Abdul-Rashid; Miles Freeman; Ben Abbatematteo; George Konidaris 001; Daniel Ritchie (ICRA, 2022)

Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments. - Matthew Berg; George Konidaris 001; Stefanie Tellex (ICRA, 2022)

Generalizing to New Domains by Mapping Natural Language to Lifted LTL. - Eric Hsiung; Hiloni Mehta; Junchi Chu; Xinyu Liu 014; Roma Patel; Stefanie Tellex; George Konidaris 001 (ICRA, 2022)

RMPs for Safe Impedance Control in Contact-Rich Manipulation. - Seiji Shaw; Ben Abbatematteo; George Konidaris 001 (ICRA, 2022)

Towards Optimal Correlational Object Search. - Kaiyu Zheng; Rohan Chitnis; Yoonchang Sung; George Konidaris 001; Stefanie Tellex (ICRA, 2022)

Model-based Lifelong Reinforcement Learning with Bayesian Exploration. - Haotian Fu; Shangqun Yu; Michael Littman 002; George Konidaris 001 (NeurIPS, 2022)

Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. - Charles Lovering; Jessica Forde; George Konidaris 001; Ellie Pavlick; Michael L. Littman (NeurIPS, 2022)

Effects of Data Geometry in Early Deep Learning. - Saket Tiwari; George Konidaris 001 (NeurIPS, 2022)

Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. - Shangqun Yu; Sreehari Rammohan; Kaiyu Zheng; George Dimitri Konidaris (CoRR, 2022)

Adaptive Online Value Function Approximation with Wavelets. - Michael Beukman; Michael Mitchley; Dean S. Wookey; Steven James 001; George Konidaris 001 (CoRR, 2022)

Learning Abstract and Transferable Representations for Planning. - Steven James 001; Benjamin Rosman; George Dimitri Konidaris (CoRR, 2022)

Characterizing the Action-Generalization Gap in Deep Q-Learning. - Zhiyuan Zhou; Cameron Allen; Kavosh Asadi; George Konidaris 001 (CoRR, 2022)

Meta-Learning Transferable Parameterized Skills. - Haotian Fu; Shangqun Yu; Saket Tiwari; George Dimitri Konidaris; Michael Littman 002 (CoRR, 2022)

Skill Transfer for Temporally-Extended Task Specifications. - Jason Xinyu Liu; Ankit Shah; Eric Rosen; George Konidaris 001; Stefanie Tellex (CoRR, 2022)

RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning. - Rafael Rodríguez-Sánchez 002; Benjamin A. Spiegel; Jennifer Wang; Roma Patel; Stefanie Tellex; George Konidaris 001 (CoRR, 2022)

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (CoRR, 2022)

Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. - Charles Lovering; Jessica Zosa Forde; George Konidaris 001; Ellie Pavlick; Michael L. Littman (CoRR, 2022)

IKFlow: Generating Diverse Inverse Kinematics Solutions. - Barrett Ames; Jeremy Morgan; George Dimitri Konidaris (IEEE Robotics Autom. Lett., 2022)

Q-functionals for Value-Based Continuous Control. - Samuel Lobel; Sreehari Rammohan; Bowen He; Shangqun Yu; George Konidaris 001 (AAAI, 2023)

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. - Omer Gottesman; Kavosh Asadi; Cameron S. Allen; Samuel Lobel; George Konidaris 001; Michael Littman 002 (AISTATS, 2023)

Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. - Eric Rosen; Steven James 001; Sergio Orozco; Vedant Gupta; Max Merlin; Stefanie Tellex; George Konidaris 001 (CoRL, 2023)

Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. - Haotian Fu; Jiayu Yao; Omer Gottesman; Finale Doshi-Velez; George Konidaris 001 (ICLR, 2023)

RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents. - Rafael Rodríguez-Sánchez 002; Benjamin Adin Spiegel; Jennifer Wang; Roma Patel; Stefanie Tellex; George Konidaris 001 (ICML, 2023)

Meta-learning Parameterized Skills. - Haotian Fu; Shangqun Yu; Saket Tiwari; Michael Littman 002; George Konidaris 001 (ICML, 2023)

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. - Sam Lobel; Akhil Bagaria; George Konidaris 001 (ICML, 2023)

Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. - Ifrah Idrees; Tian Yun 001; Naveen Sharma; Yunxin Deng; Nakul Gopalan; George Konidaris 001; Stefanie Tellex (IROS, 2023)

Skill Generalization with Verbs. - Rachel Ma; Lyndon Lam; Benjamin A. Spiegel; Aditya Ganeshan; Roma Patel; Ben Abbatematteo; David Paulius; Stefanie Tellex; George Konidaris 001 (IROS, 2023)

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (IROS, 2023)

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. - Akhil Bagaria; Ben Abbatematteo; Omer Gottesman; Matt Corsaro; Sreehari Rammohan; George Dimitri Konidaris (NeurIPS, 2023)

Exploiting Contextual Structure to Generate Useful Auxiliary Tasks. - Benedict Quartey; Ankit Shah; George Konidaris 001 (CoRR, 2023)

Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. - Andrew Levy; Sreehari Rammohan; Alessandro Allievi; Scott Niekum; George Konidaris 001 (CoRR, 2023)

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. - William Hill; Ireton Liu; Anita de Mello Koch; Damion Harvey; George Konidaris 001; Steven James 001 (CoRR, 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)

Automatic encoding and repair of reactive high-level tasks with learned abstract representations. - Adam Pacheck; Steven James 001; George Dimitri Konidaris; Hadas Kress-Gazit (Int. J. Robotics Res., 2023)

EPO: Hierarchical LLM Agents with Environment Preference Optimization. - Qi Zhao; Haotian Fu; Chen Sun; George Konidaris 001 (EMNLP, 2024)

Language-guided Skill Learning with Temporal Variational Inference. - Haotian Fu; Pratyusha Sharma; Elias Stengel-Eskin; George Konidaris 001; Nicolas Le Roux; Marc-Alexandre Côté; Xingdi Yuan (ICML, 2024)

Model-based Reinforcement Learning for Parameterized Action Spaces. - Renhao Zhang; Haotian Fu; Yilin Miao; George Konidaris 001 (ICML, 2024)

Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. - Ben Abbatematteo; Eric Rosen; Skye Thompson; Tuluhan Akbulut; Sreehari Rammohan; George Dimitri Konidaris (ICRA, 2024)

Skill Transfer for Temporal Task Specification. - Jason Xinyu Liu; Ankit Shah; Eric Rosen; Mingxi Jia; George Konidaris 001; Stefanie Tellex (ICRA, 2024)

Robot Task Planning Under Local Observability. - Max Merlin; Shane Parr; Neev Parikh; Sergio Orozco; Vedant Gupta; Eric Rosen; George Konidaris 001 (ICRA, 2024)

Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models. - Jason Xinyu Liu; Ankit Shah; George Konidaris 001; Stefanie Tellex; David Paulius (IROS, 2024)

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. - Cameron Allen; Aaron Kirtland; Ruo Yu Tao; Sam Lobel; Daniel Scott; Nicholas Petrocelli; Omer Gottesman; Ronald Parr; Michael L. Littman; George Konidaris 001 (NeurIPS, 2024)

Learning Abstract World Models for Value-preserving Planning with Options. - Rafael Rodríguez-Sánchez 002; George Konidaris 001 (RLJ, 2024)

Verifiably Following Complex Robot Instructions with Foundation Models. - Benedict Quartey; Eric Rosen; Stefanie Tellex; George Konidaris 001 (CoRR, 2024)

Learning Abstract World Model for Value-preserving Planning with Options. - Rafael Rodríguez-Sánchez 002; George Konidaris 001 (CoRR, 2024)

Bootstrapping Object-level Planning with Large Language Models. - David Paulius; Alejandro Agostini; Benedict Quartey; George Konidaris 001 (CoRR, 2024)

Latent-Predictive Empowerment: Measuring Empowerment without a Simulator. - Andrew Levy; Alessandro Allievi; George Konidaris 001 (CoRR, 2024)

Discovering Options That Minimize Average Planning Time. - Alexander Ivanov; Akhil Bagaria; George Konidaris 001 (AAAI, 2025)

Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces. - Saket Tiwari; Omer Gottesman; George Konidaris 001 (ICLR, 2025)

Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network. - Vincent Hsiao; Mark Roberts; Laura M. Hiatt; George Dimitri Konidaris; Dana S. Nau (AAMAS, 2025)

Visual Theory of Mind Enables the Invention of Writing Systems. - Benjamin A. Spiegel; Lucas Gelfond; George Konidaris 001 (CoRR, 2025)

V-HOP: Visuo-Haptic 6D Object Pose Tracking. - Hongyu Li 003; Mingxi Jia; Tuluhan Akbulut; Yu Xiang; George Konidaris 001; Srinath Sridhar 002 (CoRR, 2025)

Knowledge Retention for Continual Model-Based Reinforcement Learning. - Yixiang Sun; Haotian Fu; Michael L. Littman; George Dimitri Konidaris (CoRR, 2025)

Beyond Task and Motion Planning: Hierarchical Robot Planning with General-Purpose Policies. - Benned Hedegaard; Ziyi Yang; Yichen Wei; Ahmed Jaafar; Stefanie Tellex; George Konidaris 001; Naman Shah 004 (CoRR, 2025)

Optimal Interactive Learning on the Job via Facility Location Planning. - Shivam Vats; Michelle Zhao; Patrick Callaghan; Mingxi Jia; Maxim Likhachev; Oliver Kroemer; George Dimitri Konidaris (CoRR, 2025)

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning. - Martin Klissarov; Akhil Bagaria; Ziyan Luo; George Dimitri Konidaris; Doina Precup; Marlos C. Machado (CoRR, 2025)

Accelerating Residual Reinforcement Learning with Uncertainty Estimation. - Lakshita Dodeja; Karl Schmeckpeper; Shivam Vats; Thomas Weng; Mingxi Jia; George Konidaris 001; Stefanie Tellex (CoRR, 2025)

Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains. - Ruo Yu Tao; Kaicheng Guo; Cameron Allen; George Dimitri Konidaris (CoRR, 2025)