A. Dragan

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Inferring Reward Functions from Demonstrators with Unknown Biases

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2018 .

Preferences Implicit in the State of the World pdf

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2018, ICLR.

Shared Autonomy via Deep Reinforcement Learning pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2018, Robotics: Science and Systems.

Inverse Reward Design

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2017, NIPS.

Formalizing Assistive Teleoperation

Siddhartha S. Srinivasa, Anca D. Dragan, S. Srinivasa, 2012, Robotics: Science and Systems.

Manipulation planning with goal sets using constrained trajectory optimization

Siddhartha S. Srinivasa, Anca D. Dragan, Nathan D. Ratliff, 2011, 2011 IEEE International Conference on Robotics and Automation.

CHOMP: Covariant Hamiltonian optimization for motion planning

Siddhartha S. Srinivasa, Anca D. Dragan, J. Andrew Bagnell, 2013, Int. J. Robotics Res..

The Off-Switch Game pdf

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2016, IJCAI.

Should Robots be Obedient?

Anca D. Dragan, Dylan Hadfield-Menell, Stuart J. Russell, 2017, IJCAI.

Learning a Prior over Intent via Meta-Inverse Reinforcement Learning

Anca D. Dragan, Sergey Levine, Chelsea Finn, 2018, ICML.

Legibility and predictability of robot motion

Siddhartha S. Srinivasa, Anca D. Dragan, Kenton C. T. Lee, 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces

Anca D. Dragan, Michael Laskey, Kenneth Y. Goldberg, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Perceived robot capability

Siddhartha S. Srinivasa, Anca D. Dragan, Elizabeth Cha, 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Enabling robots to communicate their objectives pdf

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2017, Autonomous Robots.

Expressing Robot Incapability

Anca D. Dragan, Sandy H. Huang, Minae Kwon, 2018, 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Familiarization to Robot Motion

Siddhartha S. Srinivasa, Anca D. Dragan, S. Srinivasa, 2014, 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Cooperative Inverse Reinforcement Learning

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2016, NIPS.

Hierarchical Game-Theoretic Planning for Autonomous Vehicles

Anca D. Dragan, Jaime F. Fisac, S. Shankar Sastry, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Active Preference-Based Learning of Reward Functions

Anca D. Dragan, S. Shankar Sastry, Sanjit A. Seshia, 2017, Robotics: Science and Systems.

Active Comparison Based Learning Incorporating User Uncertainty and Noise

Paul N. Bennett, S. Srinivasa, Rachel Holladay, 2016 .

Online customization of teleoperation interfaces

Siddhartha S. Srinivasa, Anca D. Dragan, S. Srinivasa, 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

Teleoperation with intelligent and customizable interfaces

Siddhartha S. Srinivasa, Anca D. Dragan, Kenton Lee, 2013, Journal of Human-Robot Interaction.

Assistive Teleoperation : A New Domain for Interactive Learning – Extended Abstract –

S. Srinivasa, A. Dragan, 2012 .

Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home

Ross A. Knepper, S. Srinivasa, M. Dogar, 2012, Proceedings of the IEEE.

Effects of Robot Motion on Human-Robot Collaboration

Siddhartha S. Srinivasa, Anca D. Dragan, Jodi Forlizzi, 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Pragmatic-Pedagogic Value Alignment pdf

Anca D. Dragan, Thomas L. Griffiths, Jaime F. Fisac, 2017, ISRR.

Generating Legible Motion

Siddhartha S. Srinivasa, Anca D. Dragan, S. Srinivasa, 2013, Robotics: Science and Systems.

On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference pdf

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2019, ICML.

Translating Neuralese

Anca D. Dragan, Dan Klein, Jacob Andreas, 2017, ACL.

Generating Plans that Predict Themselves

Anca D. Dragan, Thomas L. Griffiths, Jaime F. Fisac, 2018, WAFR.

Human-AI Learning Performance in Multi-Armed Bandits

Anca D. Dragan, Dylan Hadfield-Menell, Sandy H. Huang, 2018, AIES.

Expressive Robot Motion Timing

Anca D. Dragan, Dylan Hadfield-Menell, Anusha Nagabandi, 2017, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.

Learning Human Objectives by Evaluating Hypothetical Behavior

Anca D. Dragan, Shane Legg, Jan Leike, 2019, ICML.

DART: Noise Injection for Robust Imitation Learning

Anca D. Dragan, Jonathan Lee, Michael Laskey, 2017, CoRL.

AvE: Assistance via Empowerment pdf

Daniel Polani, Pieter Abbeel, Stas Tiomkin, 2020, NeurIPS.

Planning for Autonomous Cars that Leverage Effects on Human Actions

Anca D. Dragan, S. Shankar Sastry, Sanjit A. Seshia, 2016, Robotics: Science and Systems.

Choice Set Misspecification in Reward Inference pdf

Rohin Shah, Rachel Freedman, Anca Dragan, 2021, AISafety@IJCAI.

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions pdf

Anca D. Dragan, Jaime F. Fisac, David Fridovich-Keil, 2018, Robotics: Science and Systems.

Information gathering actions over human internal state

Anca D. Dragan, S. Shankar Sastry, Sanjit A. Seshia, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

On the Utility of Model Learning in HRI

Anca D. Dragan, Dylan Hadfield-Menell, Gokul Swamy, 2019, 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Bayesian Robustness: A Nonasymptotic Viewpoint pdf

Anca D. Dragan, Michael I. Jordan, Peter L. Bartlett, 2019, Journal of the American Statistical Association.

Nonverbal Robot Feedback for Human Teachers

Anca D. Dragan, Isabella Huang, Sandy H. Huang, 2019, CoRL.

Special issue on learning for human–robot collaboration

Anca D. Dragan, Sylvain Calinon, Dongheui Lee, 2018, Auton. Robots.

Do You Want Your Autonomous Car to Drive Like You?

Mukesh Singhal, Anca D. Dragan, Qian Yang, 2015, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.

Learning with Humans in the Loop

S. Levine, A. Dragan, Gokul Swamy, 2020 .

Report : Verifiable Control for ( Semi ) Autonomous Cars that Learns from Human ( Re ) Actions

S. Sastry, A. Dragan, S. Seshia, 2016 .

Information Gathering Actions over Human Internal State Dorsa

S. Sastry, A. Dragan, S. Seshia, 2016 .

Customization of Teleoperation Interfaces

A. Dragan, 2015 .

Benefits of Assistance over Reward Learning

Stuart J. Russell, P. Abbeel, Rohin Shah, 2020 .

An Empirical Exploration of AI Safety

S. Levine, A. Dragan, 2017 .

RobULA: Efficient Sampling for Robust Bayesian Inference

Michael I. Jordan, P. Bartlett, A. Dragan, 2019 .

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2019, ICLR.

Active Comparison Based Learning Incorporating User Uncertainty and Noise

Siddhartha S. Srinivasa, Maya Cakmak, Anca D. Dragan, 2016 .

SHIV : Reducing Supervisor Burden using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces

Anca D. Dragan, Ken Goldberg, Michael Laskey, 2015 .

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers

Matthew J. Hausknecht, M. Hausknecht, A. Dragan, 2022, arXiv.org.

Estimating and Penalizing Induced Preference Shifts in Recommender Systems

Stuart J. Russell, A. Dragan, Dylan Hadfield-Menell, 2022, ICML.

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization

S. Levine, A. Dragan, S. Reddy, 2022, ArXiv.

Preferences Implicit in the State of the World

P. Abbeel, Rohin Shah, A. Dragan, 2018, ICLR.

Efficient Cooperative Inverse Reinforcement Learning

Stuart J. Russell, A. Dragan, Dylan Hadfield-Menell, 2017 .

X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback

Sergey Levine, Siddharth Reddy, Karunesh Ganguly, 2022, ICLR.

How to Be Helpful to Multiple People at Once

Thomas L Griffiths, Vael Gates, Anca D Dragan, 2020, Cogn. Sci..

Estimating and Penalizing Induced Preference Shifts in Recommender Systems

Stuart J. Russell, A. Dragan, Dylan Hadfield-Menell, 2022, ICML.

Teaching Robots to Span the Space of Functional Expressive Motion

Daniel S. Brown, A. Dragan, K. Sreenath, 2022, ArXiv.

Exploring Active Human Goal Inference in Shared Autonomy and Autonomous Driving

Nicholas C. Landolfi, A. Dragan, 2010 .

What Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning

S. Levine, A. Dragan, S. Reddy, 2018 .

Estimating and Penalizing Preference Shift in Recommender Systems

Dylan Hadfield-Menell, Stuart J. Russell, Stuart Russell, 2021, RecSys.

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types

Gaurav R. Ghosal, Daniel S. Brown, A. Dragan, 2022, ArXiv.

Estimating and Penalizing Induced Preference Shifts in Recommender Systems

Stuart J. Russell, A. Dragan, Dylan Hadfield-Menell, 2022, ICML.

T OWARDS F LEXIBLE I NFERENCE IN S EQUENTIAL D ECISION P ROBLEMS VIA B IDIRECTIONAL T RANSFORMERS

Matthew J. Hausknecht, A. Dragan, David Bignell, 2022 .

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization

S. Levine, A. Dragan, S. Reddy, 2022, NeurIPS.

A Study of Causal Confusion in Preference-Based Reward Learning

Zackory M. Erickson, Daniel S. Brown, A. Dragan, 2022, ArXiv.

Time-Efficient Reward Learning via Visually Assisted Cluster Ranking

A. Dragan, Micah Carroll, Andreea Bobu, 2022, ArXiv.

Enabling robots to communicate their objectives

Sandy H. Huang, P. Abbeel, David Held, 2018, Autonomous Robots.

Few-Shot Intent Inference via Meta-Inverse Reinforcement Learning

Anca D. Dragan, Sergey Levine, Chelsea Finn, 2018 .

Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration

A. Dragan, Micah Carroll, Mesut Yang, 2022, ArXiv.

Deceptive robot motion: synthesis, analysis and experiments

S. Srinivasa, Rachel Holladay, A. Dragan, 2015, Auton. Robots.

Towards Modeling and Influencing the Dynamics of Human Learning

A. Dragan, M. Tomizuka, Ran Tian, 2023, HRI.

SQIL: Imitation Learning via Regularized Behavioral Cloning pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2019, ArXiv.

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces pdf

Byron Boots, Zita Marinho, Geoffrey J. Gordon, 2016, Robotics: Science and Systems.

Learning from Physical Human Corrections, One Feature at a Time

Anca D. Dragan, Marcia Kilchenman O'Malley, Dylan P. Losey, 2018, 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Viewpoint-based legibility optimization

Siddhartha S. Srinivasa, Anca D. Dragan, Stefanos Nikolaidis, 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models

A. Dragan, Cassidy Laidlaw, 2022, ICLR.

Feature Expansive Reward Learning: Rethinking Human Input

Anca D. Dragan, Andreea Bobu, Claire Tomlin, 2020, 2021 16th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Preference learning along multiple criteria: A game-theoretic perspective

Martin Wainwright, Ashwin Pananjady, Kush Bhatia, 2021, NeurIPS.

LESS is More: Rethinking Probabilistic Models of Human Behavior

Anca D. Dragan, Jaime F. Fisac, S. Shankar Sastry, 2020, 2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Confidence-aware motion prediction for real-time collision avoidance1

Anca D. Dragan, Jaime F. Fisac, David Fridovich-Keil, 2020, Int. J. Robotics Res..

Reward-rational (implicit) choice: A unifying formalism for reward learning

Hong Jun Jeon, A. Dragan, S. Milli, 2020, NeurIPS.

Scaled Autonomy: Enabling Human Operators to Control Robot Fleets

S. Levine, A. Dragan, S. Reddy, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Configuration Space Metrics

Anca D. Dragan, Hong Jun Jeon, Hong Jun Jeon, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Accelerating Human Learning with Deep Reinforcement Learning

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2017 .

A policy-blending formalism for shared control

Siddhartha S. Srinivasa, Anca D. Dragan, S. Srinivasa, 2013, Int. J. Robotics Res..

B-Pref: Benchmarking Preference-Based Reinforcement Learning pdf

Pieter Abbeel, Laura Smith, Anca Dragan, 2021, NeurIPS Datasets and Benchmarks.

Learning Human Objectives by Evaluating Hypothetical Behavior

S. Levine, S. Legg, A. Dragan, 2019, ICML.

On the Utility of Learning about Humans for Human-AI Coordination

Anca D. Dragan, Thomas L. Griffiths, Sanjit A. Seshia, 2019, NeurIPS.

Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations

Anca D. Dragan, Jonathan Lee, Michael Laskey, 2016, 2016 IEEE International Conference on Automation Science and Engineering (CASE).

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games

Anca D. Dragan, David Fridovich-Keil, Claire J. Tomlin, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types

Gaurav R. Ghosal, Daniel S. Brown, A. Dragan, 2022, AAAI.

Inducing structure in reward learning by learning features pdf

Anca D. Dragan, Andreea Bobu, Claire Tomlin, 2022, Int. J. Robotics Res..

Agnostic Learning with Unknown Utilities pdf

Anca D. Dragan, Peter L. Bartlett, Kush Bhatia, 2021, ITCS.

Situational Confidence Assistance for Lifelong Shared Autonomy

Anca D. Dragan, Andreea Bobu, Daniel S. Brown, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning under Misspecified Objective Spaces

Anca D. Dragan, Jaime F. Fisac, Andreea Bobu, 2018, CoRL.

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models pdf

Anca D. Dragan, Masayoshi Tomizuka, Andrea Bajcsy, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Social Cohesion in Autonomous Driving

Anca D. Dragan, Nicholas C. Landolfi, A. Dragan, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state

Anca D. Dragan, S. Shankar Sastry, Sanjit A. Seshia, 2018, Autonomous Robots.

Introduction to the Special Issue on Explainable Robotic Systems

A. Dragan, T. Ziemke, B. Malle, 2021, ACM Transactions on Human-Robot Interaction.

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning

S. Levine, A. Dragan, S. Reddy, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Physical interaction as communication: Learning robot objectives online from human corrections pdf

Anca D. Dragan, Marcia K. O'Malley, Dylan P. Losey, 2021, Int. J. Robotics Res..

Assisted Perception: Optimizing Observations to Communicate State pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2020, CoRL.

Quantifying Hypothesis Space Misspecification in Learning From Human–Robot Demonstrations and Physical Corrections

Anca D. Dragan, Jaime F. Fisac, Sampada Deglurkar, 2020, IEEE Transactions on Robotics.

The Assistive Multi-Armed Bandit

Siddhartha S. Srinivasa, Anca D. Dragan, Dylan Hadfield-Menell, 2019, 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning pdf

Anca D. Dragan, Jaime F. Fisac, Dylan Hadfield-Menell, 2018, ICML.

Assitive teleoperation for manipulation tasks

Siddhartha S. Srinivasa, Anca D. Dragan, S. Srinivasa, 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Establishing Appropriate Trust via Critical States

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Toward seamless human-robot handovers

Siddhartha S. Srinivasa, Maya Cakmak, Anca D. Dragan, 2013, Journal of Human-Robot Interaction.

Aligning Robot and Human Representations

A. Dragan, Pulkit Agrawal, J. Shah, 2023, ArXiv.

Learning Representations that Enable Generalization in Assistive Tasks

Zackory M. Erickson, Daniel S. Brown, A. Dragan, 2022, CoRL.

The Social Cost of Strategic Classification

Anca D. Dragan, John Miller, Moritz Hardt, 2018, FAT.

Courteous Autonomous Cars

Anca D. Dragan, Wei Zhan, Masayoshi Tomizuka, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

On complementing end-to-end human behavior predictors with planning

Anca D. Dragan, Xiaogang Jia, Liting Sun, 2021, Robotics: Science and Systems.

Pragmatic Image Compression for Human-in-the-Loop Decision-Making pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2021, NeurIPS.

Learning from Experience in Manipulation Planning: Setting the Right Goals

Siddhartha S. Srinivasa, Anca D. Dragan, Geoffrey J. Gordon, 2011, ISRR.

Deliberate Delays During Robot-to-Human Handovers Improve Compliance With Gaze Communication

Siddhartha S. Srinivasa, Anca D. Dragan, Brian Scassellati, 2014, 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Analyzing Human Models that Adapt Online

Anca D. Dragan, Claire J. Tomlin, Andrea Bajcsy, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Cost Functions for Robot Motion Style

Anca D. Dragan, Allan Zhou, A. Dragan, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Inferring Rewards from Language in Context

A. Dragan, D. Klein, Daniel Fried, 2022, ACL.

Evaluating the Robustness of Collaborative Agents pdf

Sam Devlin, Rohin Shah, Katja Hofmann, 2021, AAMAS.

On complementing end-to-end human motion predictors with planning pdf

Anca D. Dragan, Xiaogang Jia, Liting Sun, 2021, ArXiv.

Daniel S. Brown, Rohin Shah, A. Dragan, 2023, HRI.

Learning Robot Objectives from Physical Human Interaction

Anca D. Dragan, Marcia Kilchenman O'Malley, Dylan P. Losey, 2017, CoRL.

A Study of Causal Confusion in Preference-Based Reward Learning

Zackory M. Erickson, Daniel S. Brown, A. Dragan, 2022, ArXiv.

SIRL

Daniel S. Brown, Rohin Shah, A. Dragan, 2023, Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.

Model Reconstruction from Model Explanations

Anca D. Dragan, Ludwig Schmidt, Moritz Hardt, 2018, FAT.

Toward Grounded Social Reasoning

A. Dragan, Minae Kwon, Dorsa Sadigh, 2023, ArXiv.

Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization

A. Dragan, S. Milli, Yike Wang, 2023, ArXiv.

Legible robot pointing

Siddhartha S. Srinivasa, Anca D. Dragan, Rachel M. Holladay, 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

Learning the communication of intent prior to physical collaboration

Siddhartha S. Srinivasa, Anca D. Dragan, Kyle Strabala, 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

Legible Robot Motion Planning

Anca D. Dragan, A. Dragan, 2015 .

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers

Matthew J. Hausknecht, A. Dragan, David Bignell, 2022, ArXiv.

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

A. Dragan, Dmitrii Krasheninnikov, David Krueger, 2023, ArXiv.

On the Sensitivity of Reward Inference to Misspecified Human Models

A. Dragan, K. Bhatia, Joey Hong, 2022, ICLR.

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning

Zackory M. Erickson, Daniel S. Brown, A. Dragan, 2022, ICLR.

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning

Anca D. Dragan, Smitha Milli, A. Dragan, 2019, UAI.

Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2018, NeurIPS.

Human irrationality: both bad and good for reward inference pdf

Andrew Critch, Anca Dragan, Lawrence Chan, 2021, ArXiv.

Automatically Auditing Large Language Models via Discrete Optimization

A. Dragan, J. Steinhardt, Aditi Raghunathan, 2023, ICML.

Contextual Reliability: When Different Features Matter in Different Contexts

Amrith Rajagopal Setlur, Gaurav R. Ghosal, Daniel S. Brown, 2023, ICML.

Policy Gradient Bayesian Robust Optimization for Imitation Learning pdf

Anca D. Dragan, Marek Petrik, Ashwin Balakrishna, 2021, ICML.

Irrationality can help reward inference

Andrew Critch, Anca Dragan, Lawrence Chan, 2019 .

AvE: Assistance via Empowerment

P. Abbeel, A. Dragan, D. Polani, 2020, NeurIPS.

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration

Anca D. Dragan, Chang Liu, Thomas L. Griffiths, 2016, AAMAS.

Benchmarks and Algorithms for Offline Preference-Based Reward Learning

Daniel S. Brown, A. Dragan, Daniel Shin, 2023, Trans. Mach. Learn. Res..

Bridging RL Theory and Practice with the Effective Horizon

Stuart J. Russell, A. Dragan, Cassidy Laidlaw, 2023, ArXiv.

Preferences Implicit in the State of the World

P. Abbeel, Rohin Shah, A. Dragan, 2019, ICLR.

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state

Nicholas C. Landolfi, A. Dragan, S. Seshia, 2018, Autonomous Robots.

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control

S. Levine, A. Dragan, A. Kolobov, 2023, arXiv.org.

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control

S. Levine, A. Dragan, A. Kolobov, 2023, CoRL.

Explainable Robotic Systems

Anca D. Dragan, Tom Ziemke, Maartje M. A. de Graaf, 2018, HRI.

Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations

Anca D. Dragan, Jonathan Lee, Michael Laskey, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

An Extensible Interactive Interface for Agent Design pdf

Anca D. Dragan, Dylan Hadfield-Menell, Matthew Rahtz, 2019, ArXiv.

Robot Planning with Mathematical Models of Human State and Action pdf

Anca D. Dragan, A. Dragan, 2017, ArXiv.

Learning to Influence Human Behavior with Offline Reinforcement Learning

S. Levine, A. Dragan, Joey Hong, 2023 .

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning

C. Tomlin, A. Dragan, Ellis Ratner, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Learning to Model the World with Language

P. Abbeel, A. Dragan, D. Klein, 2023, ArXiv.

The MineRL BASALT Competition on Learning from Human Feedback pdf

Pieter Abbeel, Stuart J. Russell, Rohin Shah, 2021, ArXiv.

UniMASK: Unified Inference in Sequential Decision Problems

Matthew J. Hausknecht, A. Dragan, David Bignell, 2022, NeurIPS.

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance

Anca D. Dragan, Jaime F. Fisac, David Fridovich-Keil, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

A. Dragan, Dmitrii Krasheninnikov, David Krueger, 2023, Trans. Mach. Learn. Res..

Optimal Cost Design for Model Predictive Control

Anca D. Dragan, Daniel S. Brown, Avik Jain, 2021, L4DC.

Assisted Perception: Optimizing Observations to Communicate State

S. Levine, A. Dragan, S. Reddy, 2020, CoRL.

Enabling robots to communicate their objectives

Sandy H. Huang, P. Abbeel, David Held, 2017, Autonomous Robots.

Leveraging Critical States to Develop Trust

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2017 .

Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home

Ross A. Knepper, S. Srinivasa, M. Dogar, 2012, Proceedings of the IEEE.

Inferring and assisting with constraints in shared autonomy

Anca D. Dragan, Roberto Horowitz, Negar Mehr, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Quantifying Hypothesis Space Misspecification in Learning From Human–Robot Demonstrations and Physical Corrections

J. Fisac, A. Dragan, Sampada Deglurkar, 2020, IEEE Transactions on Robotics.

Efficient Dynamics Estimation With Adaptive Model Sets

Anca D. Dragan, Terrence Fong, Claire J. Tomlin, 2021, IEEE Robotics and Automation Letters.

Dynamically Switching Human Prediction Models for Efficient Planning

Anca D. Dragan, Daniel S. Brown, Andreea Bobu, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Movement primitives via optimization

Siddhartha S. Srinivasa, Anca D. Dragan, Katharina Mülling, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Integrating human observer inferences into robot motion planning

S. Srinivasa, A. Dragan, 2014, Auton. Robots.

An Analysis of Deceptive Robot Motion

Siddhartha S. Srinivasa, Anca D. Dragan, Rachel M. Holladay, 2014, Robotics: Science and Systems.

Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media

A. Dragan, S. Milli, Yike Wang, 2023, 2305.16941.

Toward Grounded Commonsense Reasoning

A. Dragan, Minae Kwon, Dorsa Sadigh, 2023, 2306.08651.

Learning What To Do by Simulating the Past

P. Abbeel, Rohin Shah, A. Dragan, 2021, ICLR.

Learning from Extrapolated Corrections

Anca D. Dragan, Jason Y. Zhang, Jason Y. Zhang, 2018, 2019 International Conference on Robotics and Automation (ICRA).