Anca D. Dragan

According to our database, Anca D. Dragan authored at least 168 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane

CoRR, 2024

A Generalized Acquisition Function for Preference-based Reward Learning.

Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik

CoRR, 2024

Preventing Reward Hacking with Occupancy Measure Regularization.

Cassidy Laidlaw, Shivam Singhal, Anca D. Dragan

CoRR, 2024

When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning.

Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons

CoRR, 2024

Aligning Human and Robot Representations.

Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 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, Scott Niekum

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Benchmarks and Algorithms for Offline Preference-Based Reward Learning.

Daniel Shin, Anca D. Dragan, Daniel S. Brown

Trans. Mach. Learn. Res., 2023

The Effective Horizon Explains Deep RL Performance in Stochastic Environments.

Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan

CoRR, 2023

Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations.

Joey Hong, Sergey Levine, Anca D. Dragan

CoRR, 2023

Offline RL with Observation Histories: Analyzing and Improving Sample Complexity.

Joey Hong, Anca D. Dragan, Sergey Levine

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, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann

CoRR, 2023

Confronting Reward Model Overoptimization with Constrained RLHF.

Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer

CoRR, 2023

Learning to Model the World with Language.

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, 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 Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

CoRR, 2023

Toward Grounded Social Reasoning.

Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh

CoRR, 2023

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

Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan

CoRR, 2023

Aligning Robot and Human Representations.

Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan

CoRR, 2023

Bridging RL Theory and Practice with the Effective Horizon.

Cassidy Laidlaw, Stuart J. Russell, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Influence Human Behavior with Offline Reinforcement Learning.

Joey Hong, Sergey Levine, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning.

Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

IROS, 2023

Automatically Auditing Large Language Models via Discrete Optimization.

Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt

Proceedings of the International Conference on Machine Learning, 2023

Contextual Reliability: When Different Features Matter in Different Contexts.

Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Sensitivity of Reward Inference to Misspecified Human Models.

Joey Hong, Kush Bhatia, Anca D. Dragan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Modeling and Influencing the Dynamics of Human Learning.

Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

SIRL: Similarity-based Implicit Representation Learning.

Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 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

Proceedings of the Conference on Robot Learning, 2023

Quantifying Assistive Robustness Via the Natural-Adversarial Frontier.

Jerry Zhi-Yang He, Daniel S. Brown, Zackory Erickson, Anca D. Dragan

Proceedings of the Conference on Robot Learning, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Inducing structure in reward learning by learning features.

Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan

Int. J. Robotics Res., 2022

Time-Efficient Reward Learning via Visually Assisted Cluster Ranking.

David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan

CoRR, 2022

UniMASK: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, 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

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers.

Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 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

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

Siddharth Reddy, Sergey Levine, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uni[MASK]: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Teaching Robots to Span the Space of Functional Expressive Motion.

Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Estimating and Penalizing Induced Preference Shifts in Recommender Systems.

Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell

Proceedings of the International Conference on Machine Learning, 2022

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

Cassidy Laidlaw, Anca D. Dragan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Representations that Enable Generalization in Assistive Tasks.

Jerry Zhi-Yang He, Zackory Erickson, Daniel S. Brown, Aditi Raghunathan, Anca D. Dragan

Proceedings of the Conference on Robot Learning, 2022

Inferring Rewards from Language in Context.

Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

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

Human irrationality: both bad and good for reward inference.

Lawrence Chan, Andrew Critch, 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, Anca D. Dragan

CoRR, 2021

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

Liting Sun, Xiaogang Jia, Anca D. Dragan

CoRR, 2021

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

Liting Sun, Xiaogang Jia, Anca D. Dragan

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Estimating and Penalizing Preference Shift in Recommender Systems.

Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

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

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

B-Pref: Benchmarking Preference-Based Reinforcement Learning.

Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Optimal Cost Design for Model Predictive Control.

Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Agnostic Learning with Unknown Utilities.

Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt

Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Situational Confidence Assistance for Lifelong Shared Autonomy.

Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dynamically Switching Human Prediction Models for Efficient Planning.

Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Analyzing Human Models that Adapt Online.

Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

Value Alignment Verification.

Daniel S. Brown, Jordan Schneider, Anca D. Dragan, Scott Niekum

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning What To Do by Simulating the Past.

David Lindner, Rohin Shah, Pieter Abbeel, Anca D. Dragan

Proceedings of the 9th International Conference on Learning Representations, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Feature Expansive Reward Learning: Rethinking Human Input.

Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

Assisted Robust Reward Design.

Jerry Zhi-Yang He, Anca D. Dragan

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Evaluating the Robustness of Collaborative Agents.

Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

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

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

How to Be Helpful to Multiple People at Once.

Vael Gates, Thomas L. Griffiths, Anca D. Dragan

Cogn. Sci., 2020

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

Hong Jun Jeon, Smitha Milli, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AvE: Assistance via Empowerment.

Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Preference learning along multiple criteria: A game-theoretic perspective.

Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Choice Set Misspecification in Reward Inference.

Rachel Freedman, Rohin Shah, Anca D. Dragan

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

Scaled Autonomy: Enabling Human Operators to Control Robot Fleets.

Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Human Objectives by Evaluating Hypothetical Behavior.

Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike

Proceedings of the 37th International Conference on Machine Learning, 2020

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards.

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the 8th International Conference on Learning Representations, 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

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Assisted Perception: Optimizing Observations to Communicate State.

Siddharth Reddy, Sergey Levine, Anca D. Dragan

Proceedings of the 4th Conference on Robot Learning, 2020

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

Bayesian Robustness: A Nonasymptotic Viewpoint.

Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan

CoRR, 2019

An Extensible Interactive Interface for Agent Design.

Matthew Rahtz, James Fang, Anca D. Dragan, Dylan Hadfield-Menell

CoRR, 2019

SQIL: Imitation Learning via Regularized Behavioral Cloning.

Siddharth Reddy, Anca D. Dragan, Sergey Levine

CoRR, 2019

Enabling robots to communicate their objectives.

Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan

Auton. Robots, 2019

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

Smitha Milli, Anca D. Dragan

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

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

Micah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning from Extrapolated Corrections.

Jason Y. Zhang, Anca D. Dragan

Proceedings of the International Conference on Robotics and Automation, 2019

Hierarchical Game-Theoretic Planning for Autonomous Vehicles.

Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan

Proceedings of the International Conference on Robotics and Automation, 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

Proceedings of the International Conference on Robotics and Automation, 2019

Learning a Prior over Intent via Meta-Inverse Reinforcement Learning.

Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan

Proceedings of the 36th International Conference on Machine Learning, 2019

Preferences Implicit in the State of the World.

Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca D. Dragan

Proceedings of the 7th International Conference on Learning Representations, 2019

On the Utility of Model Learning in HRI.

Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

The Assistive Multi-Armed Bandit.

Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Model Reconstruction from Model Explanations.

Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

The Social Cost of Strategic Classification.

Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Nonverbal Robot Feedback for Human Teachers.

Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Human-AI Learning Performance in Multi-Armed Bandits.

Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Specifying AI Objectives as a Human-AI Collaboration problem.

Anca D. Dragan

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Learning from Intended Corrections.

Jason Y. Zhang, Anca D. Dragan

CoRR, 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

Special issue on learning for human-robot collaboration.

Leonel Dario Rozo, Heni Ben Amor, Sylvain Calinon, Anca D. Dragan, Dongheui Lee

Auton. Robots, 2018

Shared Autonomy via Deep Reinforcement Learning.

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the Robotics: Science and Systems XIV, 2018

Simplifying Reward Design through Divide-and-Conquer.

Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan

Proceedings of the Robotics: Science and Systems XIV, 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

Proceedings of the Robotics: Science and Systems XIV, 2018

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

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Cost Functions for Robot Motion Style.

Allan Zhou, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Courteous Autonomous Cars.

Liting Sun, Wei Zhan, Masayoshi Tomizuka, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Social Cohesion in Autonomous Driving.

Nicholas C. Landolfi, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Configuration Space Metrics.

Hong Jun Jeon, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Establishing Appropriate Trust via Critical States.

Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Human Ergonomic Preferences for Handovers.

Aaron M. Bestick, Ravi Pandya, Ruzena Bajcsy, Anca D. Dragan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

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

Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan

Proceedings of the 35th International Conference on Machine Learning, 2018

Expressing Robot Incapability.

Minae Kwon, Sandy H. Huang, Anca D. Dragan

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Explainable Robotic Systems.

Maartje M. A. de Graaf, Bertram F. Malle, Anca D. Dragan, Tom Ziemke

Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries.

Chandrayee Basu, Mukesh Singhal, Anca D. Dragan

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Learning from Physical Human Corrections, One Feature at a Time.

Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Learning under Misspecified Objective Spaces.

Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Robot Planning with Mathematical Models of Human State and Action.

Anca D. Dragan

CoRR, 2017

Active Preference-Based Learning of Reward Functions.

Dorsa Sadigh, Anca D. Dragan, Shankar Sastry, Sanjit A. Seshia

Proceedings of the Robotics: Science and Systems XIII, 2017

Inverse Reward Design.

Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Pragmatic-Pedagogic Value Alignment.

Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Should Robots be Obedient?

Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Ken Goldberg

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Expressive Robot Motion Timing.

Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Do You Want Your Autonomous Car To Drive Like You?

Chandrayee Basu, Qian Yang, David Hungerman, Mukesh Singhal, Anca D. Dragan

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

DART: Noise Injection for Robust Imitation Learning.

Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Learning Robot Objectives from Physical Human Interaction.

Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Translating Neuralese.

Jacob Andreas, Anca D. Dragan, Dan Klein

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

The Off-Switch Game.

Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Generating Plans that Predict Themselves.

Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Planning for Autonomous Cars that Leverage Effects on Human Actions.

Dorsa Sadigh, Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 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

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Cooperative Inverse Reinforcement Learning.

Dylan Hadfield-Menell, Stuart Russell, Pieter Abbeel, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Implicitly Assisting Humans to Choose Good Grasps in Robot to Human Handovers.

Aaron M. Bestick, Ruzena Bajcsy, Anca D. Dragan

Proceedings of the International Symposium on Experimental Robotics, 2016

Information gathering actions over human internal state.

Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Viewpoint-Based Legibility Optimization.

Stefanos Nikolaidis, Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

Inferring and assisting with constraints in shared autonomy.

Negar Mehr, Roberto Horowitz, Anca D. Dragan

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

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

Michael Laskey, Jonathan Lee, Caleb Chuck, David V. Gealy, Wesley Yu-Shu Hsieh, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

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

Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Legible Robot Motion Planning.

Anca D. Dragan

PhD thesis, 2015

Deceptive robot motion: synthesis, analysis and experiments.

Anca D. Dragan, Rachel M. Holladay, Siddhartha S. Srinivasa

Auton. Robots, 2015

Perceived robot capability.

Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Movement primitives via optimization.

Anca D. Dragan, Katharina Mülling, J. Andrew Bagnell, Siddhartha S. Srinivasa

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Effects of Robot Motion on Human-Robot Collaboration.

Anca D. Dragan, Shira Bauman, Jodi Forlizzi, Siddhartha S. Srinivasa

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014

Integrating human observer inferences into robot motion planning.

Anca D. Dragan, Siddhartha S. Srinivasa

Auton. Robots, 2014

An Analysis of Deceptive Robot Motion.

Anca D. Dragan, Rachel M. Holladay, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems X, 2014

Legible robot pointing.

Rachel M. Holladay, Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Familiarization to robot motion.

Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Pre-school children's first encounter with a robot.

Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Effects of speech on perceived capability.

Elizabeth Cha, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Deliberate delays during robot-to-human handovers improve compliance with gaze communication.

Henny Admoni, Anca D. Dragan, Siddhartha S. Srinivasa, Brian Scassellati

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

2013

CHOMP: Covariant Hamiltonian optimization for motion planning.

Matthew Zucker, Nathan D. Ratliff, Anca D. Dragan, Mihail Pivtoraiko, Matthew Klingensmith, Christopher M. Dellin, J. Andrew Bagnell, Siddhartha S. Srinivasa

Int. J. Robotics Res., 2013

A policy-blending formalism for shared control.

Anca D. Dragan, Siddhartha S. Srinivasa

Int. J. Robotics Res., 2013

Generating Legible Motion.

Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Legible user input for intent prediction.

Kenton C. T. Lee, Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Collaborative manipulation: new challenges for robotics and HRI.

Anca D. Dragan, Andrea Lockerd Thomaz, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Legibility and predictability of robot motion.

Anca D. Dragan, Kenton C. T. Lee, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Effects of robot capability on user acceptance.

Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

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

Formalizing Assistive Teleoperation.

Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems VIII, 2012

Learning the communication of intent prior to physical collaboration.

Kyle Strabala, Min Kyung Lee, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa

Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

Online customization of teleoperation interfaces.

Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

Assistive teleoperation for manipulation tasks.

Anca D. Dragan, Siddhartha S. Srinivasa

Proceedings of the International Conference on Human-Robot Interaction, 2012

2011

Learning from Experience in Manipulation Planning: Setting the Right Goals.

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

Proceedings of the Robotics Research, 2011

Manipulation planning with goal sets using constrained trajectory optimization.

Anca D. Dragan, Nathan D. Ratliff, Siddhartha S. Srinivasa

Proceedings of the IEEE International Conference on Robotics and Automation, 2011