Manipulation planning with goal sets using constrained trajectory optimization. - Anca D. Dragan; Nathan D. Ratliff; Siddhartha S. Srinivasa (ICRA, 2011)

Learning from Experience in Manipulation Planning: Setting the Right Goals. - Anca D. Dragan; Geoffrey J. Gordon; Siddhartha S. Srinivasa (ISRR, 2011)

Assistive teleoperation for manipulation tasks. - Anca D. Dragan; Siddhartha S. Srinivasa (HRI, 2012)

Online customization of teleoperation interfaces. - Anca D. Dragan; Siddhartha S. Srinivasa (RO-MAN, 2012)

Learning the communication of intent prior to physical collaboration. - Kyle Strabala; Min Kyung Lee; Anca D. Dragan; Jodi Forlizzi; Siddhartha S. Srinivasa (RO-MAN, 2012)

Formalizing Assistive Teleoperation. - Anca D. Dragan; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2012)

Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home. - Siddhartha S. Srinivasa; Dmitry Berenson; Maya Cakmak; Alvaro Collet; Mehmet Remzi Dogar; Anca D. Dragan; Ross A. Knepper; Tim Niemueller; Kyle Strabala; Michael Vande Weghe; Julius Ziegler (Proc. IEEE, 2012)

Effects of robot capability on user acceptance. - Elizabeth Cha; Anca D. Dragan; Siddhartha S. Srinivasa (HRI, 2013)

Legibility and predictability of robot motion. - Anca D. Dragan; Kenton C. T. Lee; Siddhartha S. Srinivasa (HRI, 2013)

Collaborative manipulation: new challenges for robotics and HRI. - Anca D. Dragan; Andrea Lockerd Thomaz; Siddhartha S. Srinivasa (HRI, 2013)

Legible user input for intent prediction. - Kenton C. T. Lee; Anca D. Dragan; Siddhartha S. Srinivasa (HRI, 2013)

Generating Legible Motion. - Anca D. Dragan; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2013)

A policy-blending formalism for shared control. - Anca D. Dragan; Siddhartha S. Srinivasa (Int. J. Robotics Res., 2013)

CHOMP: Covariant Hamiltonian optimization for motion planning. - Matthew Zucker 001; Nathan D. Ratliff; Anca D. Dragan; Mihail Pivtoraiko; Matthew Klingensmith; Christopher M. Dellin; J. Andrew Bagnell; Siddhartha S. Srinivasa (Int. J. Robotics Res., 2013)

Teleoperation with intelligent and customizable interfaces. - Anca D. Dragan; Siddhartha S. Srinivasa; Kenton C. T. Lee (J. Hum. Robot Interact., 2013)

Toward seamless human-robot handovers. - Kyle Strabala; Min Kyung Lee; Anca D. Dragan; Jodi Forlizzi; Siddhartha S. Srinivasa; Maya Cakmak; Vincenzo Micelli (J. Hum. Robot Interact., 2013)

Deliberate delays during robot-to-human handovers improve compliance with gaze communication. - Henny Admoni; Anca D. Dragan; Siddhartha S. Srinivasa; Brian Scassellati (HRI, 2014)

Effects of speech on perceived capability. - Elizabeth Cha; Anca D. Dragan; Jodi Forlizzi; Siddhartha S. Srinivasa (HRI, 2014)

Pre-school children's first encounter with a robot. - Elizabeth Cha; Anca D. Dragan; Siddhartha S. Srinivasa (HRI, 2014)

Familiarization to robot motion. - Anca D. Dragan; Siddhartha S. Srinivasa (HRI, 2014)

Legible robot pointing. - Rachel M. Holladay; Anca D. Dragan; Siddhartha S. Srinivasa (RO-MAN, 2014)

An Analysis of Deceptive Robot Motion. - Anca D. Dragan; Rachel M. Holladay; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2014)

Integrating human observer inferences into robot motion planning. - Anca D. Dragan; Siddhartha S. Srinivasa (Auton. Robots, 2014)

Effects of Robot Motion on Human-Robot Collaboration. - Anca D. Dragan; Shira Bauman; Jodi Forlizzi; Siddhartha S. Srinivasa (HRI, 2015)

Movement primitives via optimization. - Anca D. Dragan; Katharina Mülling; J. Andrew Bagnell; Siddhartha S. Srinivasa (ICRA, 2015)

Perceived robot capability. - Elizabeth Cha; Anca D. Dragan; Siddhartha S. Srinivasa (RO-MAN, 2015)

Deceptive robot motion: synthesis, analysis and experiments. - Anca D. Dragan; Rachel M. Holladay; Siddhartha S. Srinivasa (Auton. Robots, 2015)

Legible Robot Motion Planning. - Anca D. Dragan (2015)

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. - Chang Liu 002; Jessica B. Hamrick; Jaime F. Fisac; Anca D. Dragan; J. Karl Hedrick; S. Shankar Sastry; Thomas L. Griffiths 001 (AAMAS, 2016)

Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations. - Michael Laskey; Jonathan Lee 002; Caleb Chuck; David V. Gealy; Wesley Yu-Shu Hsieh; Florian T. Pokorny; Anca D. Dragan; Ken Goldberg (CASE, 2016)

Inferring and assisting with constraints in shared autonomy. - Negar Mehr; Roberto Horowitz; Anca D. Dragan (CDC, 2016)

Viewpoint-Based Legibility Optimization. - Stefanos Nikolaidis; Anca D. Dragan; Siddhartha S. Srinivasa (HRI, 2016)

SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces. - Michael Laskey; Sam Staszak; Wesley Yu-Shu Hsieh; Jeffrey Mahler; Florian T. Pokorny; Anca D. Dragan; Ken Goldberg (ICRA, 2016)

Information gathering actions over human internal state. - Dorsa Sadigh; S. Shankar Sastry; Sanjit A. Seshia; Anca D. Dragan (IROS, 2016)

Implicitly Assisting Humans to Choose Good Grasps in Robot to Human Handovers. - Aaron M. Bestick; Ruzena Bajcsy; Anca D. Dragan (ISER, 2016)

Cooperative Inverse Reinforcement Learning. - Dylan Hadfield-Menell; Stuart Russell 001; Pieter Abbeel; Anca D. Dragan (NIPS, 2016)

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. - Zita Marinho; Byron Boots; Anca D. Dragan; Arunkumar Byravan; Geoffrey J. Gordon; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2016)

Planning for Autonomous Cars that Leverage Effects on Human Actions. - Dorsa Sadigh; Shankar Sastry 001; Sanjit A. Seshia; Anca D. Dragan (Robotics: Science and Systems, 2016)

Generating Plans that Predict Themselves. - Jaime F. Fisac; Chang Liu 002; Jessica B. Hamrick; Shankar Sastry 001; J. Karl Hedrick; Thomas L. Griffiths 001; Anca D. Dragan (WAFR, 2016)

The Off-Switch Game. - Dylan Hadfield-Menell; Anca D. Dragan; Pieter Abbeel; Stuart Russell 001 (AAAI Workshops, 2017)

Translating Neuralese. - Jacob Andreas; Anca D. Dragan; Dan Klein 001 (ACL (1), 2017)

Learning Robot Objectives from Physical Human Interaction. - Andrea Bajcsy; Dylan P. Losey; Marcia K. O'Malley; Anca D. Dragan (CoRL, 2017)

DART: Noise Injection for Robust Imitation Learning. - Michael Laskey; Jonathan Lee 002; Roy Fox; Anca D. Dragan; Ken Goldberg (CoRL, 2017)

Do You Want Your Autonomous Car To Drive Like You? - Chandrayee Basu; Qian Yang 004; David Hungerman; Mukesh Singhal; Anca D. Dragan (HRI, 2017)

Expressive Robot Motion Timing. - Allan Zhou; Dylan Hadfield-Menell; Anusha Nagabandi; Anca D. Dragan (HRI, 2017)

Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. - Michael Laskey; Caleb Chuck; Jonathan Lee 002; Jeffrey Mahler; Sanjay Krishnan; Kevin G. Jamieson; Anca D. Dragan; Ken Goldberg (ICRA, 2017)

Should Robots be Obedient? - Smitha Milli; Dylan Hadfield-Menell; Anca D. Dragan; Stuart Russell 001 (IJCAI, 2017)

Pragmatic-Pedagogic Value Alignment. - Jaime F. Fisac; Monica A. Gates; Jessica B. Hamrick; Chang Liu 002; Dylan Hadfield-Menell; Malayandi Palaniappan; Dhruv Malik; S. Shankar Sastry; Thomas L. Griffiths 001; Anca D. Dragan (ISRR, 2017)

Inverse Reward Design. - Dylan Hadfield-Menell; Smitha Milli; Pieter Abbeel; Stuart J. Russell; Anca D. Dragan (NIPS, 2017)

Active Preference-Based Learning of Reward Functions. - Dorsa Sadigh; Anca D. Dragan; Shankar Sastry 001; Sanjit A. Seshia (Robotics: Science and Systems, 2017)

Robot Planning with Mathematical Models of Human State and Action. - Anca D. Dragan (CoRR, 2017)

Learning under Misspecified Objective Spaces. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Anca D. Dragan (CoRL, 2018)

Learning from Physical Human Corrections, One Feature at a Time. - Andrea Bajcsy; Dylan P. Losey; Marcia K. O'Malley; Anca D. Dragan (HRI, 2018)

Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries. - Chandrayee Basu; Mukesh Singhal; Anca D. Dragan (HRI, 2018)

Explainable Robotic Systems. - Maartje M. A. de Graaf; Bertram F. Malle; Anca D. Dragan; Tom Ziemke (HRI (Companion), 2018)

Expressing Robot Incapability. - Minae Kwon; Sandy H. Huang; Anca D. Dragan (HRI, 2018)

An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. - Dhruv Malik; Malayandi Palaniappan; Jaime F. Fisac; Dylan Hadfield-Menell; Stuart Russell 001; Anca D. Dragan (ICML, 2018)

Learning Human Ergonomic Preferences for Handovers. - Aaron M. Bestick; Ravi Pandya; Ruzena Bajcsy; Anca D. Dragan (ICRA, 2018)

Establishing Appropriate Trust via Critical States. - Sandy H. Huang; Kush Bhatia; Pieter Abbeel; Anca D. Dragan (IROS, 2018)

Configuration Space Metrics. - Hong Jun Jeon; Anca D. Dragan (IROS, 2018)

Social Cohesion in Autonomous Driving. - Nicholas C. Landolfi; Anca D. Dragan (IROS, 2018)

Courteous Autonomous Cars. - Liting Sun; Wei Zhan; Masayoshi Tomizuka; Anca D. Dragan (IROS, 2018)

Cost Functions for Robot Motion Style. - Allan Zhou; Anca D. Dragan (IROS, 2018)

Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. - Siddharth Reddy; Anca D. Dragan; Sergey Levine (NeurIPS, 2018)

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. - Jaime F. Fisac; Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Steven Wang; Claire J. Tomlin; Anca D. Dragan (Robotics: Science and Systems, 2018)

Simplifying Reward Design through Divide-and-Conquer. - Ellis Ratner; Dylan Hadfield-Menell; Anca D. Dragan (Robotics: Science and Systems, 2018)

Shared Autonomy via Deep Reinforcement Learning. - Siddharth Reddy; Anca D. Dragan; Sergey Levine (Robotics: Science and Systems, 2018)

Special issue on learning for human-robot collaboration. - Leonel Dario Rozo; Heni Ben Amor; Sylvain Calinon; Anca D. Dragan; Dongheui Lee (Auton. Robots, 2018)

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state. - Dorsa Sadigh; Nick Landolfi; Shankar S. Sastry; Sanjit A. Seshia; Anca D. Dragan (Auton. Robots, 2018)

Learning from Intended Corrections. - Jason Y. Zhang 001; Anca D. Dragan (CoRR, 2018)

Specifying AI Objectives as a Human-AI Collaboration problem. - Anca D. Dragan (AIES, 2019)

Human-AI Learning Performance in Multi-Armed Bandits. - Ravi Pandya; Sandy H. Huang; Dylan Hadfield-Menell; Anca D. Dragan (AIES, 2019)

Nonverbal Robot Feedback for Human Teachers. - Sandy H. Huang; Isabella Huang; Ravi Pandya; Anca D. Dragan (CoRL, 2019)

The Social Cost of Strategic Classification. - Smitha Milli; John Miller 001; Anca D. Dragan; Moritz Hardt (FAT, 2019)

Model Reconstruction from Model Explanations. - Smitha Milli; Ludwig Schmidt; Anca D. Dragan; Moritz Hardt (FAT, 2019)

The Assistive Multi-Armed Bandit. - Lawrence Chan; Dylan Hadfield-Menell; Siddhartha S. Srinivasa; Anca D. Dragan (HRI, 2019)

On the Utility of Model Learning in HRI. - Rohan Choudhury; Gokul Swamy; Dylan Hadfield-Menell; Anca D. Dragan (HRI, 2019)

Preferences Implicit in the State of the World. - Rohin Shah; Dmitrii Krasheninnikov; Jordan Alexander; Pieter Abbeel; Anca D. Dragan (ICLR (Poster), 2019)

On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. - Rohin Shah; Noah Gundotra; Pieter Abbeel; Anca D. Dragan (ICML, 2019)

Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. - Kelvin Xu; Ellis Ratner; Anca D. Dragan; Sergey Levine; Chelsea Finn (ICML, 2019)

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. - Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan; Claire J. Tomlin (ICRA, 2019)

Hierarchical Game-Theoretic Planning for Autonomous Vehicles. - Jaime F. Fisac; Eli Bronstein; Elis Stefansson; Dorsa Sadigh; S. Shankar Sastry; Anca D. Dragan (ICRA, 2019)

Learning from Extrapolated Corrections. - Jason Y. Zhang 001; Anca D. Dragan (ICRA, 2019)

On the Utility of Learning about Humans for Human-AI Coordination. - Micah Carroll; Rohin Shah; Mark K. Ho; Tom Griffiths 001; Sanjit A. Seshia; Pieter Abbeel; Anca D. Dragan (NeurIPS, 2019)

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. - Smitha Milli; Anca D. Dragan (UAI, 2019)

Enabling robots to communicate their objectives. - Sandy H. Huang; David Held; Pieter Abbeel; Anca D. Dragan (Auton. Robots, 2019)

SQIL: Imitation Learning via Regularized Behavioral Cloning. - Siddharth Reddy; Anca D. Dragan; Sergey Levine (CoRR, 2019)

An Extensible Interactive Interface for Agent Design. - Matthew Rahtz; James Fang; Anca D. Dragan; Dylan Hadfield-Menell (CoRR, 2019)

Bayesian Robustness: A Nonasymptotic Viewpoint. - Kush Bhatia; Yi-An Ma; Anca D. Dragan; Peter L. Bartlett; Michael I. Jordan (CoRR, 2019)

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. - David Fridovich-Keil; Ellis Ratner; Anca D. Dragan; Claire J. Tomlin (CoRR, 2019)

Assisted Perception: Optimizing Observations to Communicate State. - Siddharth Reddy; Sergey Levine; Anca D. Dragan (CoRL, 2020)

LESS is More: Rethinking Probabilistic Models of Human Behavior. - Andreea Bobu; Dexter R. R. Scobee; Jaime F. Fisac; S. Shankar Sastry; Anca D. Dragan (HRI, 2020)

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards. - Siddharth Reddy; Anca D. Dragan; Sergey Levine (ICLR, 2020)

Learning Human Objectives by Evaluating Hypothetical Behavior. - Siddharth Reddy; Anca D. Dragan; Sergey Levine; Shane Legg; Jan Leike (ICML, 2020)

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. - Somil Bansal; Andrea Bajcsy; Ellis Ratner; Anca D. Dragan; Claire J. Tomlin (ICRA, 2020)

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. - David Fridovich-Keil; Ellis Ratner; Lasse Peters; Anca D. Dragan; Claire J. Tomlin (ICRA, 2020)

Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. - Gokul Swamy; Siddharth Reddy; Sergey Levine; Anca D. Dragan (ICRA, 2020)

Choice Set Misspecification in Reward Inference. - Rachel Freedman; Rohin Shah; Anca D. Dragan (AISafety@IJCAI, 2020)

Preference learning along multiple criteria: A game-theoretic perspective. - Kush Bhatia; Ashwin Pananjady; Peter L. Bartlett; Anca D. Dragan; Martin J. Wainwright (NeurIPS, 2020)

AvE: Assistance via Empowerment. - Yuqing Du; Stas Tiomkin; Emre Kiciman; Daniel Polani; Pieter Abbeel; Anca D. Dragan (NeurIPS, 2020)

Reward-rational (implicit) choice: A unifying formalism for reward learning. - Hong Jun Jeon; Smitha Milli; Anca D. Dragan (NeurIPS, 2020)

How to Be Helpful to Multiple People at Once. - Vael Gates; Thomas L. Griffiths 001; Anca D. Dragan (Cogn. Sci., 2020)

Confidence-aware motion prediction for real-time collision avoidance1. - David Fridovich-Keil; Andrea Bajcsy; Jaime F. Fisac; Sylvia L. Herbert; Steven Wang; Anca D. Dragan; Claire J. Tomlin (Int. J. Robotics Res., 2020)

Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan (IEEE Trans. Robotics, 2020)

Evaluating the Robustness of Collaborative Agents. - Paul A. Knott; Micah Carroll; Sam Devlin; Kamil Ciosek; Katja Hofmann; Anca D. Dragan; Rohin Shah (AAMAS, 2021)

Assisted Robust Reward Design. - Jerry Zhi-Yang He; Anca D. Dragan (CoRL, 2021)

Feature Expansive Reward Learning: Rethinking Human Input. - Andreea Bobu; Marius Wiggert; Claire J. Tomlin; Anca D. Dragan (HRI, 2021)

X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. - Jensen Gao; Siddharth Reddy; Glen Berseth; Nicholas Hardy; Nikhilesh Natraj; Karunesh Ganguly; Anca D. Dragan; Sergey Levine (ICLR, 2021)

Learning What To Do by Simulating the Past. - David Lindner; Rohin Shah; Pieter Abbeel; Anca D. Dragan (ICLR, 2021)

Value Alignment Verification. - Daniel S. Brown; Jordan Schneider; Anca D. Dragan; Scott Niekum (ICML, 2021)

Policy Gradient Bayesian Robust Optimization for Imitation Learning. - Zaynah Javed; Daniel S. Brown; Satvik Sharma; Jerry Zhu; Ashwin Balakrishna; Marek Petrik; Anca D. Dragan; Ken Goldberg (ICML, 2021)

Analyzing Human Models that Adapt Online. - Andrea Bajcsy; Anand Siththaranjan; Claire J. Tomlin; Anca D. Dragan (ICRA, 2021)

Dynamically Switching Human Prediction Models for Efficient Planning. - Arjun Sripathy; Andreea Bobu; Daniel S. Brown; Anca D. Dragan (ICRA, 2021)

Situational Confidence Assistance for Lifelong Shared Autonomy. - Matthew Zurek; Andreea Bobu; Daniel S. Brown; Anca D. Dragan (ICRA, 2021)

Agnostic Learning with Unknown Utilities. - Kush Bhatia; Peter L. Bartlett; Anca D. Dragan; Jacob Steinhardt (ITCS, 2021)

Optimal Cost Design for Model Predictive Control. - Avik Jain; Lawrence Chan; Daniel S. Brown; Anca D. Dragan (L4DC, 2021)

B-Pref: Benchmarking Preference-Based Reinforcement Learning. - Kimin Lee; Laura M. Smith; Anca D. Dragan; Pieter Abbeel (NeurIPS Datasets and Benchmarks, 2021)

Pragmatic Image Compression for Human-in-the-Loop Decision-Making. - Siddharth Reddy; Anca D. Dragan; Sergey Levine (NeurIPS, 2021)

Estimating and Penalizing Preference Shift in Recommender Systems. - Micah Carroll; Dylan Hadfield-Menell; Stuart Russell 001; Anca D. Dragan (RecSys, 2021)

On complementing end-to-end human behavior predictors with planning. - Liting Sun; Xiaogang Jia; Anca D. Dragan (Robotics: Science and Systems, 2021)

On complementing end-to-end human motion predictors with planning. - Liting Sun; Xiaogang Jia; Anca D. Dragan (CoRR, 2021)

The MineRL BASALT Competition on Learning from Human Feedback. - Rohin Shah; Cody Wild; Steven H. Wang; Neel Alex; Brandon Houghton; William H. Guss; Sharada P. Mohanty; Anssi Kanervisto; Stephanie Milani; Nicholay Topin; Pieter Abbeel; Stuart Russell 001; et al. (CoRR, 2021)

Human irrationality: both bad and good for reward inference. - Lawrence Chan; Andrew Critch; Anca D. Dragan (CoRR, 2021)

A Robust Control Framework for Human Motion Prediction. - Andrea Bajcsy; Somil Bansal; Ellis Ratner; Claire J. Tomlin; Anca D. Dragan (IEEE Robotics Autom. Lett., 2021)

Efficient Dynamics Estimation With Adaptive Model Sets. - Ellis Ratner; Andrea Bajcsy; Terrence Fong; Claire J. Tomlin; Anca D. Dragan (IEEE Robotics Autom. Lett., 2021)

Introduction to the Special Issue on Explainable Robotic Systems. - Maartje M. A. de Graaf; Anca D. Dragan; Bertram F. Malle; Tom Ziemke (ACM Trans. Hum. Robot Interact., 2021)

Inferring Rewards from Language in Context. - Jessy Lin; Daniel Fried; Dan Klein 001; Anca D. Dragan (ACL (1), 2022)

Learning Representations that Enable Generalization in Assistive Tasks. - Jerry Zhi-Yang He; Zackory Erickson; Daniel S. Brown; Aditi Raghunathan; Anca D. Dragan (CoRL, 2022)

The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models. - Cassidy Laidlaw; Anca D. Dragan (ICLR, 2022)

Estimating and Penalizing Induced Preference Shifts in Recommender Systems. - Micah D. Carroll; Anca D. Dragan; Stuart Russell 001; Dylan Hadfield-Menell (ICML, 2022)

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. - Sean Chen; Jensen Gao; Siddharth Reddy; Glen Berseth; Anca D. Dragan; Sergey Levine (ICRA, 2022)

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. - Ran Tian; Liting Sun; Andrea Bajcsy; Masayoshi Tomizuka; Anca D. Dragan (ICRA, 2022)

Teaching Robots to Span the Space of Functional Expressive Motion. - Arjun Sripathy; Andreea Bobu; Zhongyu Li 003; Koushil Sreenath; Daniel S. Brown; Anca D. Dragan (IROS, 2022)

Uni[MASK]: Unified Inference in Sequential Decision Problems. - Micah Carroll; Orr Paradise; Jessy Lin; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (NeurIPS, 2022)

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. - Siddharth Reddy; Sergey Levine; Anca D. Dragan (NeurIPS, 2022)

A Study of Causal Confusion in Preference-Based Reward Learning. - Jeremy Tien; Jerry Zhi-Yang He; Zackory Erickson; Anca D. Dragan; Daniel S. Brown (CoRR, 2022)

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. - Micah Carroll; Jessy Lin; Orr Paradise; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (CoRR, 2022)

Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration. - Mesut Yang; Micah Carroll; Anca D. Dragan (CoRR, 2022)

UniMASK: Unified Inference in Sequential Decision Problems. - Micah Carroll; Orr Paradise; Jessy Lin; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (CoRR, 2022)

Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. - David Zhang; Micah Carroll; Andreea Bobu; Anca D. Dragan (CoRR, 2022)

Inducing structure in reward learning by learning features. - Andreea Bobu; Marius Wiggert; Claire J. Tomlin; Anca D. Dragan (Int. J. Robotics Res., 2022)

Physical interaction as communication: Learning robot objectives online from human corrections. - Dylan P. Losey; Andrea Bajcsy; Marcia K. O'Malley; Anca D. Dragan (Int. J. Robotics Res., 2022)

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. - Gaurav R. Ghosal; Matthew Zurek; Daniel S. Brown; Anca D. Dragan (AAAI, 2023)

Quantifying Assistive Robustness Via the Natural-Adversarial Frontier. - Jerry Zhi-Yang He; Daniel S. Brown; Zackory Erickson; Anca D. Dragan (CoRL, 2023)

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. - Vivek Myers; Andre Wang He; Kuan Fang; Homer Rich Walke; Philippe Hansen-Estruch; Ching-An Cheng; Mihai Jalobeanu; Andrey Kolobov; Anca D. Dragan; Sergey Levine (CoRL, 2023)

SIRL: Similarity-based Implicit Representation Learning. - Andreea Bobu; Yi Liu; Rohin Shah; Daniel S. Brown; Anca D. Dragan (HRI, 2023)

Towards Modeling and Influencing the Dynamics of Human Learning. - Ran Tian; Masayoshi Tomizuka; Anca D. Dragan; Andrea Bajcsy (HRI, 2023)

On the Sensitivity of Reward Inference to Misspecified Human Models. - Joey Hong; Kush Bhatia; Anca D. Dragan (ICLR, 2023)

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning. - Jeremy Tien; Jerry Zhi-Yang He; Zackory Erickson; Anca D. Dragan; Daniel S. Brown (ICLR, 2023)

Contextual Reliability: When Different Features Matter in Different Contexts. - Gaurav Rohit Ghosal; Amrith Setlur; Daniel S. Brown; Anca D. Dragan; Aditi Raghunathan (ICML, 2023)

Automatically Auditing Large Language Models via Discrete Optimization. - Erik Jones; Anca D. Dragan; Aditi Raghunathan; Jacob Steinhardt (ICML, 2023)

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. - Jensen Gao; Siddharth Reddy; Glen Berseth; Anca D. Dragan; Sergey Levine (IROS, 2023)

Learning to Influence Human Behavior with Offline Reinforcement Learning. - Joey Hong; Sergey Levine; Anca D. Dragan (NeurIPS, 2023)

Bridging RL Theory and Practice with the Effective Horizon. - Cassidy Laidlaw; Stuart J. Russell; Anca D. Dragan (NeurIPS, 2023)

Aligning Robot and Human Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie Shah; Anca D. Dragan (CoRR, 2023)

Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization. - Smitha Milli; Micah Carroll; Sashrika Pandey; Yike Wang 002; Anca D. Dragan (CoRR, 2023)

Toward Grounded Social Reasoning. - Minae Kwon; Hengyuan Hu; Vivek Myers; Siddharth Karamcheti; Anca D. Dragan; Dorsa Sadigh (CoRR, 2023)

Managing AI Risks in an Era of Rapid Progress. - Yoshua Bengio; Geoffrey E. Hinton; Andrew Yao; Dawn Song; Pieter Abbeel; Yuval Noah Harari; Ya-Qin Zhang; Lan Xue; Shai Shalev-Shwartz; Gillian K. Hadfield; Jeff Clune; Tegan Maharaj; et al. (CoRR, 2023)

Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations. - Joey Hong; Sergey Levine; Anca D. Dragan (CoRR, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Benchmarks and Algorithms for Offline Preference-Based Reward Learning. - Daniel Shin; Anca D. Dragan; Daniel S. Brown (Trans. Mach. Learn. Res., 2023)

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)

Defining Deception in Decision Making. - Marwa Abdulhai; Micah Carroll; Justin Svegliato; Anca D. Dragan; Sergey Levine (AAMAS, 2024)

Trajectory Improvement and Reward Learning from Comparative Language Feedback. - Zhaojing Yang; Miru Jun; Jeremy Tien; Stuart Russell 001; Anca D. Dragan; Erdem Biyik (CoRL, 2024)

Aligning Human and Robot Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie A. Shah; Anca D. Dragan (HRI, 2024)

Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. - Joey Hong; Anca D. Dragan; Sergey Levine (ICLR, 2024)

The Effective Horizon Explains Deep RL Performance in Stochastic Environments. - Cassidy Laidlaw; Banghua Zhu; Stuart Russell 001; Anca D. Dragan (ICLR, 2024)

Confronting Reward Model Overoptimization with Constrained RLHF. - Ted Moskovitz; Aaditya K. Singh; DJ Strouse; Tuomas Sandholm; Ruslan Salakhutdinov; Anca D. Dragan; Stephen Marcus McAleer (ICLR, 2024)

AI Alignment with Changing and Influenceable Reward Functions. - Micah Carroll; Davis Foote; Anand Siththaranjan; Stuart Russell 001; Anca D. Dragan (ICML, 2024)

Learning to Model the World With Language. - Jessy Lin; Yuqing Du; Olivia Watkins; Danijar Hafner; Pieter Abbeel; Dan Klein 001; Anca D. Dragan (ICML, 2024)

Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. - Vivek Myers; Chongyi Zheng; Anca D. Dragan; Sergey Levine; Benjamin Eysenbach (ICML, 2024)

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. - Michelle Pan; Mariah L. Schrum; Vivek Myers; Erdem Biyik; Anca D. Dragan (ICML, 2024)

A Generalized Acquisition Function for Preference-based Reward Learning. - Evan Ellis; Gaurav R. Ghosal; Stuart J. Russell; Anca D. Dragan; Erdem Biyik (ICRA, 2024)

Toward Grounded Commonsense Reasoning. - Minae Kwon; Hengyuan Hu; Vivek Myers; Siddharth Karamcheti; Anca D. Dragan; Dorsa Sadigh (ICRA, 2024)

When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback. - Leon Lang; Davis Foote; Stuart J. Russell; Anca D. Dragan; Erik Jenner; Scott Emmons (NeurIPS, 2024)

Learning to Assist Humans without Inferring Rewards. - Vivek Myers; Evan Ellis; Sergey Levine; Benjamin Eysenbach; Anca D. Dragan (NeurIPS, 2024)

When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. - Leon Lang; Davis Foote; Stuart Russell 001; Anca D. Dragan; Erik Jenner; Scott Emmons (CoRR, 2024)

Preventing Reward Hacking with Occupancy Measure Regularization. - Cassidy Laidlaw; Shivam Singhal; Anca D. Dragan (CoRR, 2024)

Evaluating Frontier Models for Dangerous Capabilities. - Mary Phuong; Matthew Aitchison; Elliot Catt; Sarah Cogan; Alexandre Kaskasoli; Victoria Krakovna; David Lindner; Matthew Rahtz; Yannis Assael; Sarah Hodkinson; Heidi Howard; Tom Lieberum; et al. (CoRR, 2024)

CoS: Enhancing Personalization and Mitigating Bias with Context Steering. - Jerry Zhi-Yang He; Sashrika Pandey; Mariah L. Schrum; Anca D. Dragan (CoRR, 2024)

Adversaries Can Misuse Combinations of Safe Models. - Erik Jones; Anca D. Dragan; Jacob Steinhardt (CoRR, 2024)

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. - Tom Lieberum; Senthooran Rajamanoharan; Arthur Conmy; Lewis Smith; Nicolas Sonnerat; Vikrant Varma; János Kramár; Anca D. Dragan; Rohin Shah; Neel Nanda (CoRR, 2024)

Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations. - Joey Hong; Jessica Lin; Anca D. Dragan; Sergey Levine (CoRR, 2024)

Context Steering: Controllable Personalization at Inference Time. - Jerry Zhi-Yang He; Sashrika Pandey; Mariah L. Schrum; Anca D. Dragan (ICLR, 2025)

Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning. - Joey Hong; Anca D. Dragan; Sergey Levine (ICLR, 2025)

Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking. - Cassidy Laidlaw; Shivam Singhal; Anca D. Dragan (ICLR, 2025)

On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. - Marcus Williams; Micah Carroll; Adhyyan Narang; Constantin Weisser; Brendan Murphy; Anca D. Dragan (ICLR, 2025)

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following. - Vivek Myers; Bill Chunyuan Zheng; Anca D. Dragan; Kuan Fang; Sergey Levine (CoRR, 2025)

An Approach to Technical AGI Safety and Security. - Rohin Shah; Alex Irpan; Alexander Matt Turner; Anna Wang; Arthur Conmy; David Lindner; Jonah Brown-Cohen; Lewis Ho; Neel Nanda; Raluca Ada Popa; Rishub Jain; Rory Greig; et al. (CoRR, 2025)

AssistanceZero: Scalably Solving Assistance Games. - Cassidy Laidlaw; Eli Bronstein; Timothy Guo; Dylan Feng; Lukas Berglund; Justin Svegliato; Stuart Russell 001; Anca D. Dragan (CoRR, 2025)

Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL. - Joey Hong; Anca D. Dragan; Sergey Levine (CoRR, 2025)

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. - Tomek Korbak; Mikita Balesni; Elizabeth Barnes; Yoshua Bengio; Joe Benton; Joseph Bloom; Mark Chen 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)