Anca D. Dragan

296 papers A* 85A 14B 4C 5Misc 10Journal 151Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adversaries Can Misuse Combinations of Safe Models. ICML Erik Jones, Anca D. Dragan, Jacob Steinhardt
2025	J	`jnl`	An Approach to Technical AGI Safety and Security. CoRR 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, Samuel Albanie, Scott Emmons, Sebastian Farquhar, Sébastien Krier, Senthooran Rajamanoharan, Sophie Bridgers, Tobi Ijitoye, Tom Everitt, Victoria Krakovna, Vikrant Varma, Vladimir Mikulik, Zachary Kenton, Dave Orr, Shane Legg, Noah D. Goodman, Allan Dafoe, Four Flynn, Anca D. Dragan
2025	A*	`conf`	AssistanceZero: Scalably Solving Assistance Games. ICML Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan
2025	J	`jnl`	AssistanceZero: Scalably Solving Assistance Games. CoRR Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan
2025	J	`jnl`	CTRL-Rec: Controlling Recommender Systems With Natural Language. CoRR Micah Carroll, Adeline Foote, Kevin Feng, Marcus Williams, Anca D. Dragan, W. Bradley Knox, Smitha Milli
2025	J	`jnl`	Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. CoRR Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton, Joseph Bloom, Mark Chen, Alan Cooney, Allan Dafoe, Anca D. Dragan, Scott Emmons, Owain Evans, David Farhi, Ryan Greenblatt, Dan Hendrycks, Marius Hobbhahn, Evan Hubinger, Geoffrey Irving, Erik Jenner, Daniel Kokotajlo, Victoria Krakovna, Shane Legg, David Lindner, David Luan, Aleksander Madry, Julian Michael, Neel Nanda, Dave Orr, Jakub Pachocki, Ethan Perez, Mary Phuong, Fabien Roger, Joshua Saxe, Buck Shlegeris, Martín Soto, Eric Steinberger, Jasmine Wang, Wojciech Zaremba, Bowen Baker, Rohin Shah, Vladimir Mikulik
2025	A*	`conf`	Context Steering: Controllable Personalization at Inference Time. ICLR Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan
2025	A*	`conf`	Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking. ICLR Cassidy Laidlaw, Shivam Singhal, Anca D. Dragan
2025	A*	`conf`	On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. ICLR Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan
2025	J	`jnl`	Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2025	A*	`conf`	Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning. ICLR Joey Hong, Anca D. Dragan, Sergey Levine
2025	J	`jnl`	Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following. CoRR Vivek Myers, Bill Chunyuan Zheng, Anca D. Dragan, Kuan Fang, Sergey Levine
2025	J	`jnl`	Training LLM Agents to Empower Humans. CoRR Evan Ellis, Vivek Myers, Jens Tuyls, Sergey Levine, Anca D. Dragan, Benjamin Eysenbach
2024	A*	`conf`	A Generalized Acquisition Function for Preference-based Reward Learning. ICRA Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	J	`jnl`	A Generalized Acquisition Function for Preference-based Reward Learning. CoRR Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	A*	`conf`	AI Alignment with Changing and Influenceable Reward Functions. ICML Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	AI Alignment with Changing and Influenceable Reward Functions. CoRR Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	Adversaries Can Misuse Combinations of Safe Models. CoRR Erik Jones, Anca D. Dragan, Jacob Steinhardt
2024	A*	`conf`	Aligning Human and Robot Representations. HRI Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan
2024	J	`jnl`	CoS: Enhancing Personalization and Mitigating Bias with Context Steering. CoRR Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan
2024	A*	`conf`	Confronting Reward Model Overoptimization with Constrained RLHF. ICLR Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer
2024	A*	`conf`	Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. ICML Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024	J	`jnl`	Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. CoRR Michelle Pan, Mariah Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024	A	`conf`	Defining Deception in Decision Making. AAMAS Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine
2024	J	`jnl`	Evaluating Frontier Models for Dangerous Capabilities. CoRR 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
2024	J	`jnl`	Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. CoRR Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda
2024	J	`jnl`	Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations. CoRR Joey Hong, Jessica Lin, Anca D. Dragan, Sergey Levine
2024	A*	`conf`	Learning Optimal Advantage from Preferences and Mistaking It for Reward. AAAI W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2024	A*	`conf`	Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. ICML Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach
2024	J	`jnl`	Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. CoRR Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach
2024	A*	`conf`	Learning to Assist Humans without Inferring Rewards. NeurIPS Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca D. Dragan
2024	J	`jnl`	Learning to Assist Humans without Inferring Rewards. CoRR Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca D. Dragan
2024	A*	`conf`	Learning to Model the World With Language. ICML Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
2024	A*	`conf`	Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. ICLR Joey Hong, Anca D. Dragan, Sergey Levine
2024	J	`jnl`	On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. CoRR Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan
2024	J	`jnl`	Preventing Reward Hacking with Occupancy Measure Regularization. CoRR Cassidy Laidlaw, Shivam Singhal, Anca D. Dragan
2024	J	`jnl`	Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2024	A*	`conf`	The Effective Horizon Explains Deep RL Performance in Stochastic Environments. ICLR Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
2024	A*	`conf`	Toward Grounded Commonsense Reasoning. ICRA Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
2024	Misc	`conf`	Trajectory Improvement and Reward Learning from Comparative Language Feedback. CoRL Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik
2024	J	`jnl`	Trajectory Improvement and Reward Learning from Comparative Language Feedback. CoRR Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	A*	`conf`	When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback. NeurIPS Leon Lang, Davis Foote, Stuart J. Russell, Anca D. Dragan, Erik Jenner, Scott Emmons
2024	J	`jnl`	When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. CoRR Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons
2023	J	`jnl`	Aligning Robot and Human Representations. CoRR Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan
2023	A*	`conf`	Automatically Auditing Large Language Models via Discrete Optimization. ICML Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt
2023	J	`jnl`	Automatically Auditing Large Language Models via Discrete Optimization. CoRR Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt
2023	J	`jnl`	Benchmarks and Algorithms for Offline Preference-Based Reward Learning. CoRR Daniel Shin, Anca D. Dragan, Daniel S. Brown
2023	J	`jnl`	Benchmarks and Algorithms for Offline Preference-Based Reward Learning. Trans. Mach. Learn. Res. Daniel Shin, Anca D. Dragan, Daniel S. Brown
2023	A	`conf`	Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. IROS Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2023	J	`jnl`	Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. CoRR Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2023	A*	`conf`	Bridging RL Theory and Practice with the Effective Horizon. NeurIPS Cassidy Laidlaw, Stuart J. Russell, Anca D. Dragan
2023	J	`jnl`	Bridging RL Theory and Practice with the Effective Horizon. CoRR Cassidy Laidlaw, Stuart Russell, Anca D. Dragan
2023	A*	`conf`	Causal Confusion and Reward Misidentification in Preference-Based Reward Learning. ICLR Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson, Anca D. Dragan, Daniel S. Brown
2023	J	`jnl`	Confronting Reward Model Overoptimization with Constrained RLHF. CoRR Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer
2023	A*	`conf`	Contextual Reliability: When Different Features Matter in Different Contexts. ICML Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan
2023	J	`jnl`	Contextual Reliability: When Different Features Matter in Different Contexts. CoRR Gaurav R. Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan
2023	Misc	`conf`	Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRL 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
2023	J	`jnl`	Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRR Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
2023	J	`jnl`	Learning Optimal Advantage from Preferences and Mistaking it for Reward. CoRR W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2023	A*	`conf`	Learning to Influence Human Behavior with Offline Reinforcement Learning. NeurIPS Joey Hong, Sergey Levine, Anca D. Dragan
2023	J	`jnl`	Learning to Influence Human Behavior with Offline Reinforcement Learning. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2023	J	`jnl`	Learning to Model the World with Language. CoRR Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
2023	J	`jnl`	Managing AI Risks in an Era of Rapid Progress. CoRR 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
2023	J	`jnl`	Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2023	A*	`conf`	On the Sensitivity of Reward Inference to Misspecified Human Models. ICLR Joey Hong, Kush Bhatia, Anca D. Dragan
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR 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, 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
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 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, 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
2023	Misc	`conf`	Quantifying Assistive Robustness Via the Natural-Adversarial Frontier. CoRL Jerry Zhi-Yang He, Daniel S. Brown, Zackory Erickson, Anca D. Dragan
2023	J	`jnl`	Quantifying Assistive Robustness Via the Natural-Adversarial Frontier. CoRR Jerry Zhi-Yang He, Zackory Erickson, Daniel S. Brown, Anca D. Dragan
2023	A*	`conf`	SIRL: Similarity-based Implicit Representation Learning. HRI Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
2023	J	`jnl`	SIRL: Similarity-based Implicit Representation Learning. CoRR Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
2023	A*	`conf`	The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. AAAI Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan
2023	J	`jnl`	The Effective Horizon Explains Deep RL Performance in Stochastic Environments. CoRR Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
2023	J	`jnl`	Toward Grounded Social Reasoning. CoRR Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
2023	A*	`conf`	Towards Modeling and Influencing the Dynamics of Human Learning. HRI Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy
2023	J	`jnl`	Towards Modeling and Influencing the Dynamics of Human Learning. CoRR Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy
2023	J	`jnl`	Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization. CoRR Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan
2023	J	`jnl`	Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations. CoRR Joey Hong, Sergey Levine, Anca D. Dragan
2022	J	`jnl`	A Study of Causal Confusion in Preference-Based Reward Learning. CoRR Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson, Anca D. Dragan, Daniel S. Brown
2022	A*	`conf`	ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. ICRA Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2022	J	`jnl`	ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. CoRR Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2022	A*	`conf`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. ICML Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell
2022	J	`jnl`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. CoRR Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2022	A*	`conf`	First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. NeurIPS Siddharth Reddy, Sergey Levine, Anca D. Dragan
2022	J	`jnl`	First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. CoRR Siddharth Reddy, Sergey Levine, Anca D. Dragan
2022	J	`jnl`	Inducing Structure in Reward Learning by Learning Features. CoRR Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2022	J	`jnl`	Inducing structure in reward learning by learning features. Int. J. Robotics Res. Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2022	—	`conf`	Inferring Rewards from Language in Context. ACL (1) Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan
2022	J	`jnl`	Inferring Rewards from Language in Context. CoRR Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan
2022	Misc	`conf`	Learning Representations that Enable Generalization in Assistive Tasks. CoRL Jerry Zhi-Yang He, Zackory Erickson, Daniel S. Brown, Aditi Raghunathan, Anca D. Dragan
2022	J	`jnl`	Learning Representations that Enable Generalization in Assistive Tasks. CoRR Jerry Zhi-Yang He, Aditi Raghunathan, Daniel S. Brown, Zackory Erickson, Anca D. Dragan
2022	J	`jnl`	On the Sensitivity of Reward Inference to Misspecified Human Models. CoRR Joey Hong, Kush Bhatia, Anca D. Dragan
2022	J	`jnl`	Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration. CoRR Mesut Yang, Micah Carroll, Anca D. Dragan
2022	J	`jnl`	Physical interaction as communication: Learning robot objectives online from human corrections. Int. J. Robotics Res. Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley, Anca D. Dragan
2022	A*	`conf`	Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. ICRA Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan
2022	A	`conf`	Teaching Robots to Span the Space of Functional Expressive Motion. IROS Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan
2022	J	`jnl`	Teaching Robots to Span the Space of Functional Expressive Motion. CoRR Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan
2022	A*	`conf`	The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models. ICLR Cassidy Laidlaw, Anca D. Dragan
2022	J	`jnl`	The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models. CoRR Cassidy Laidlaw, Anca D. Dragan
2022	J	`jnl`	The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. CoRR Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan
2022	J	`jnl`	Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. CoRR David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan
2022	J	`jnl`	Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. CoRR Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	UniMASK: Unified Inference in Sequential Decision Problems. CoRR Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	A*	`conf`	Uni[MASK]: Unified Inference in Sequential Decision Problems. NeurIPS Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. CoRR Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine
2021	J	`jnl`	A Robust Control Framework for Human Motion Prediction. IEEE Robotics Autom. Lett. Andrea Bajcsy, Somil Bansal, Ellis Ratner, Claire J. Tomlin, Anca D. Dragan
2021	A	`conf`	Agnostic Learning with Unknown Utilities. ITCS Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt
2021	J	`jnl`	Agnostic learning with unknown utilities. CoRR Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt
2021	A*	`conf`	Analyzing Human Models that Adapt Online. ICRA Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan
2021	J	`jnl`	Analyzing Human Models that Adapt Online. CoRR Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan
2021	Misc	`conf`	Assisted Robust Reward Design. CoRL Jerry Zhi-Yang He, Anca D. Dragan
2021	J	`jnl`	Assisted Robust Reward Design. CoRR Jerry Zhi-Yang He, Anca D. Dragan
2021	—	`conf`	B-Pref: Benchmarking Preference-Based Reinforcement Learning. NeurIPS Datasets and Benchmarks Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel
2021	J	`jnl`	B-Pref: Benchmarking Preference-Based Reinforcement Learning. CoRR Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel
2021	J	`jnl`	Choice Set Misspecification in Reward Inference. CoRR Rachel Freedman, Rohin Shah, Anca D. Dragan
2021	A*	`conf`	Dynamically Switching Human Prediction Models for Efficient Planning. ICRA Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021	J	`jnl`	Dynamically Switching Human Prediction Models for Efficient Planning. CoRR Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021	J	`jnl`	Efficient Dynamics Estimation With Adaptive Model Sets. IEEE Robotics Autom. Lett. Ellis Ratner, Andrea Bajcsy, Terrence Fong, Claire J. Tomlin, Anca D. Dragan
2021	A	`conf`	Estimating and Penalizing Preference Shift in Recommender Systems. RecSys Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2021	A	`conf`	Evaluating the Robustness of Collaborative Agents. AAMAS Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
2021	J	`jnl`	Evaluating the Robustness of Collaborative Agents. CoRR Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
2021	A*	`conf`	Feature Expansive Reward Learning: Rethinking Human Input. HRI Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2021	J	`jnl`	Human irrationality: both bad and good for reward inference. CoRR Lawrence Chan, Andrew Critch, Anca D. Dragan
2021	J	`jnl`	Introduction to the Special Issue on Explainable Robotic Systems. ACM Trans. Hum. Robot Interact. Maartje M. A. de Graaf, Anca D. Dragan, Bertram F. Malle, Tom Ziemke
2021	A*	`conf`	Learning What To Do by Simulating the Past. ICLR David Lindner, Rohin Shah, Pieter Abbeel, Anca D. Dragan
2021	J	`jnl`	Learning What To Do by Simulating the Past. CoRR David Lindner, Rohin Shah, Pieter Abbeel, Anca D. Dragan
2021	—	`conf`	On complementing end-to-end human behavior predictors with planning. Robotics: Science and Systems Liting Sun, Xiaogang Jia, Anca D. Dragan
2021	J	`jnl`	On complementing end-to-end human motion predictors with planning. CoRR Liting Sun, Xiaogang Jia, Anca D. Dragan
2021	—	`conf`	Optimal Cost Design for Model Predictive Control. L4DC Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan
2021	J	`jnl`	Optimal Cost Design for Model Predictive Control. CoRR Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan
2021	J	`jnl`	Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections. CoRR Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley, Anca D. Dragan
2021	A*	`conf`	Policy Gradient Bayesian Robust Optimization for Imitation Learning. ICML Zaynah Javed, Daniel S. Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg
2021	J	`jnl`	Policy Gradient Bayesian Robust Optimization for Imitation Learning. CoRR Zaynah Javed, Daniel S. Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg
2021	A*	`conf`	Pragmatic Image Compression for Human-in-the-Loop Decision-Making. NeurIPS Siddharth Reddy, Anca D. Dragan, Sergey Levine
2021	J	`jnl`	Pragmatic Image Compression for Human-in-the-Loop Decision-Making. CoRR Siddharth Reddy, Anca D. Dragan, Sergey Levine
2021	J	`jnl`	Preference learning along multiple criteria: A game-theoretic perspective. CoRR Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
2021	J	`jnl`	Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. CoRR Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan
2021	A*	`conf`	Situational Confidence Assistance for Lifelong Shared Autonomy. ICRA Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021	J	`jnl`	Situational Confidence Assistance for Lifelong Shared Autonomy. CoRR Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021	J	`jnl`	The MineRL BASALT Competition on Learning from Human Feedback. CoRR 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
2021	A*	`conf`	Value Alignment Verification. ICML Daniel S. Brown, Jordan Schneider, Anca D. Dragan, Scott Niekum
2021	A*	`conf`	X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. ICLR Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine
2020	A*	`conf`	A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. ICRA Somil Bansal, Andrea Bajcsy, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin
2020	Misc	`conf`	Assisted Perception: Optimizing Observations to Communicate State. CoRL Siddharth Reddy, Sergey Levine, Anca D. Dragan
2020	J	`jnl`	Assisted Perception: Optimizing Observations to Communicate State. CoRR Siddharth Reddy, Sergey Levine, Anca D. Dragan
2020	A*	`conf`	AvE: Assistance via Empowerment. NeurIPS Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
2020	J	`jnl`	AvE: Assistance via Empowerment. CoRR Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
2020	—	`conf`	Choice Set Misspecification in Reward Inference. AISafety@IJCAI Rachel Freedman, Rohin Shah, Anca D. Dragan
2020	J	`jnl`	Confidence-aware motion prediction for real-time collision avoidance Int. J. Robotics Res. David Fridovich-Keil, Andrea Bajcsy, Jaime F. Fisac, Sylvia L. Herbert, Steven Wang, Anca D. Dragan, Claire J. Tomlin
2020	A*	`conf`	Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. ICRA David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin
2020	J	`jnl`	Feature Expansive Reward Learning: Rethinking Human Input. CoRR Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2020	J	`jnl`	How to Be Helpful to Multiple People at Once. Cogn. Sci. Vael Gates, Thomas L. Griffiths, Anca D. Dragan
2020	A*	`conf`	LESS is More: Rethinking Probabilistic Models of Human Behavior. HRI Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
2020	J	`jnl`	LESS is More: Rethinking Probabilistic Models of Human Behavior. CoRR Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
2020	A*	`conf`	Learning Human Objectives by Evaluating Hypothetical Behavior. ICML Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike
2020	A*	`conf`	Preference learning along multiple criteria: A game-theoretic perspective. NeurIPS Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
2020	J	`jnl`	Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. IEEE Trans. Robotics Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan
2020	J	`jnl`	Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections. CoRR Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan
2020	A*	`conf`	Reward-rational (implicit) choice: A unifying formalism for reward learning. NeurIPS Hong Jun Jeon, Smitha Milli, Anca D. Dragan
2020	J	`jnl`	Reward-rational (implicit) choice: A unifying formalism for reward learning. CoRR Hong Jun Jeon, Smitha Milli, Anca D. Dragan
2020	A*	`conf`	SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards. ICLR Siddharth Reddy, Anca D. Dragan, Sergey Levine
2020	A*	`conf`	Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. ICRA Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan
2019	J	`jnl`	A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. CoRR Somil Bansal, Andrea Bajcsy, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin
2019	A*	`conf`	A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. ICRA Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin
2019	J	`jnl`	An Extensible Interactive Interface for Agent Design. CoRR Matthew Rahtz, James Fang, Anca D. Dragan, Dylan Hadfield-Menell
2019	J	`jnl`	Bayesian Robustness: A Nonasymptotic Viewpoint. CoRR Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan
2019	J	`jnl`	Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. CoRR David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin
2019	J	`jnl`	Enabling robots to communicate their objectives. Auton. Robots Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2019	A*	`conf`	Hierarchical Game-Theoretic Planning for Autonomous Vehicles. ICRA Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan
2019	C	`conf`	Human-AI Learning Performance in Multi-Armed Bandits. AIES Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
2019	J	`jnl`	Learning Human Objectives by Evaluating Hypothetical Behavior. CoRR Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike
2019	A*	`conf`	Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. ICML Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn
2019	A*	`conf`	Learning from Extrapolated Corrections. ICRA Jason Y. Zhang, Anca D. Dragan
2019	A	`conf`	Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. UAI Smitha Milli, Anca D. Dragan
2019	J	`jnl`	Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. CoRR Smitha Milli, Anca D. Dragan
2019	—	`conf`	Model Reconstruction from Model Explanations. FAT Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt
2019	Misc	`conf`	Nonverbal Robot Feedback for Human Teachers. CoRL Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan
2019	J	`jnl`	Nonverbal Robot Feedback for Human Teachers. CoRR Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan
2019	A*	`conf`	On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. ICML Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan
2019	J	`jnl`	On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. CoRR Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan
2019	A*	`conf`	On the Utility of Learning about Humans for Human-AI Coordination. NeurIPS Micah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan
2019	J	`jnl`	On the Utility of Learning about Humans for Human-AI Coordination. CoRR Micah Carroll, Rohin Shah, Mark K. Ho, Thomas L. Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan
2019	A*	`conf`	On the Utility of Model Learning in HRI. HRI Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan
2019	J	`jnl`	On the Utility of Model Learning in HRI. CoRR Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan
2019	—	`conf`	Preferences Implicit in the State of the World. ICLR (Poster) Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca D. Dragan
2019	J	`jnl`	Preferences Implicit in the State of the World. CoRR Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca D. Dragan
2019	J	`jnl`	SQIL: Imitation Learning via Regularized Behavioral Cloning. CoRR Siddharth Reddy, Anca D. Dragan, Sergey Levine
2019	J	`jnl`	Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. CoRR Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan
2019	C	`conf`	Specifying AI Objectives as a Human-AI Collaboration problem. AIES Anca D. Dragan
2019	A*	`conf`	The Assistive Multi-Armed Bandit. HRI Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan
2019	J	`jnl`	The Assistive Multi-Armed Bandit. CoRR Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan
2019	—	`conf`	The Social Cost of Strategic Classification. FAT Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt
2018	J	`jnl`	A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. CoRR Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin
2018	A*	`conf`	An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2018	J	`jnl`	An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. CoRR Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2018	A	`conf`	Configuration Space Metrics. IROS Hong Jun Jeon, Anca D. Dragan
2018	J	`jnl`	Configuration Space Metrics. CoRR Hong Jun Jeon, Anca D. Dragan
2018	A	`conf`	Cost Functions for Robot Motion Style. IROS Allan Zhou, Anca D. Dragan
2018	J	`jnl`	Cost Functions for Robot Motion Style. CoRR Allan Zhou, Anca D. Dragan
2018	A	`conf`	Courteous Autonomous Cars. IROS Liting Sun, Wei Zhan, Masayoshi Tomizuka, Anca D. Dragan
2018	J	`jnl`	Courteous Autonomous Cars. CoRR Liting Sun, Wei Zhan, Masayoshi Tomizuka, Anca D. Dragan
2018	J	`jnl`	Do You Want Your Autonomous Car To Drive Like You? CoRR Chandrayee Basu, Qian Yang, David Hungerman, Mukesh Singhal, Anca D. Dragan
2018	A	`conf`	Establishing Appropriate Trust via Critical States. IROS Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan
2018	J	`jnl`	Establishing Appropriate Trust via Critical States. CoRR Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan
2018	—	`conf`	Explainable Robotic Systems. HRI (Companion) Maartje M. A. de Graaf, Bertram F. Malle, Anca D. Dragan, Tom Ziemke
2018	A*	`conf`	Expressing Robot Incapability. HRI Minae Kwon, Sandy H. Huang, Anca D. Dragan
2018	J	`jnl`	Expressing Robot Incapability. CoRR Minae Kwon, Sandy H. Huang, Anca D. Dragan
2018	J	`jnl`	Expressive Robot Motion Timing. CoRR Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
2018	J	`jnl`	Generating Plans that Predict Themselves. CoRR Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
2018	J	`jnl`	Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
2018	J	`jnl`	Hierarchical Game-Theoretic Planning for Autonomous Vehicles. CoRR Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan
2018	J	`jnl`	Human-AI Learning Performance in Multi-Armed Bandits. CoRR Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
2018	A*	`conf`	Learning Human Ergonomic Preferences for Handovers. ICRA Aaron M. Bestick, Ravi Pandya, Ruzena Bajcsy, Anca D. Dragan
2018	J	`jnl`	Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. CoRR Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn
2018	J	`jnl`	Learning from Intended Corrections. CoRR Jason Y. Zhang, Anca D. Dragan
2018	A*	`conf`	Learning from Physical Human Corrections, One Feature at a Time. HRI Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan
2018	A*	`conf`	Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries. HRI Chandrayee Basu, Mukesh Singhal, Anca D. Dragan
2018	J	`jnl`	Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries. CoRR Chandrayee Basu, Mukesh Singhal, Anca D. Dragan
2018	Misc	`conf`	Learning under Misspecified Objective Spaces. CoRL Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan
2018	J	`jnl`	Learning under Misspecified Objective Spaces. CoRR Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan
2018	J	`jnl`	Model Reconstruction from Model Explanations. CoRR Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt
2018	J	`jnl`	Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state. Auton. Robots Dorsa Sadigh, Nick Landolfi, Shankar S. Sastry, Sanjit A. Seshia, Anca D. Dragan
2018	—	`conf`	Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. Robotics: Science and Systems Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan
2018	J	`jnl`	Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. CoRR Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan
2018	—	`conf`	Shared Autonomy via Deep Reinforcement Learning. Robotics: Science and Systems Siddharth Reddy, Anca D. Dragan, Sergey Levine
2018	J	`jnl`	Shared Autonomy via Deep Reinforcement Learning. CoRR Siddharth Reddy, Sergey Levine, Anca D. Dragan
2018	—	`conf`	Simplifying Reward Design through Divide-and-Conquer. Robotics: Science and Systems Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan
2018	J	`jnl`	Simplifying Reward Design through Divide-and-Conquer. CoRR Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan
2018	A	`conf`	Social Cohesion in Autonomous Driving. IROS Nicholas C. Landolfi, Anca D. Dragan
2018	J	`jnl`	Social Cohesion in Autonomous Driving. CoRR Nicholas C. Landolfi, Anca D. Dragan
2018	J	`jnl`	Special issue on learning for human-robot collaboration. Auton. Robots Leonel Dario Rozo, Heni Ben Amor, Sylvain Calinon, Anca D. Dragan, Dongheui Lee
2018	J	`jnl`	The Social Cost of Strategic Classification. CoRR Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt
2018	A*	`conf`	Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. NeurIPS Siddharth Reddy, Anca D. Dragan, Sergey Levine
2018	J	`jnl`	Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. CoRR Siddharth Reddy, Anca D. Dragan, Sergey Levine
2017	—	`conf`	Active Preference-Based Learning of Reward Functions. Robotics: Science and Systems Dorsa Sadigh, Anca D. Dragan, Shankar Sastry, Sanjit A. Seshia
2017	A*	`conf`	Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. ICRA Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Ken Goldberg
2017	Misc	`conf`	DART: Noise Injection for Robust Imitation Learning. CoRL Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg
2017	A*	`conf`	Do You Want Your Autonomous Car To Drive Like You? HRI Chandrayee Basu, Qian Yang, David Hungerman, Mukesh Singhal, Anca D. Dragan
2017	—	`conf`	Enabling Robots to Communicate Their Objectives. Robotics: Science and Systems Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2017	J	`jnl`	Enabling Robots to Communicate their Objectives. CoRR Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2017	A*	`conf`	Expressive Robot Motion Timing. HRI Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
2017	—	`conf`	Inverse Reward Design. NIPS Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan
2017	J	`jnl`	Inverse Reward Design. CoRR Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca D. Dragan
2017	Misc	`conf`	Learning Robot Objectives from Physical Human Interaction. CoRL Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan
2017	C	`conf`	Pragmatic-Pedagogic Value Alignment. ISRR 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
2017	J	`jnl`	Pragmatic-Pedagogic Value Alignment. CoRR 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
2017	J	`jnl`	Robot Planning with Mathematical Models of Human State and Action. CoRR Anca D. Dragan
2017	A*	`conf`	Should Robots be Obedient? IJCAI Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell
2017	J	`jnl`	Should Robots be Obedient? CoRR Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell
2017	—	`conf`	The Off-Switch Game. AAAI Workshops Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2017	A*	`conf`	The Off-Switch Game. IJCAI Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2017	—	`conf`	Translating Neuralese. ACL (1) Jacob Andreas, Anca D. Dragan, Dan Klein
2017	J	`jnl`	Translating Neuralese. CoRR Jacob Andreas, Anca D. Dragan, Dan Klein
2016	J	`jnl`	Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations. CoRR Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Kenneth Y. Goldberg
2016	—	`conf`	Cooperative Inverse Reinforcement Learning. NIPS Dylan Hadfield-Menell, Stuart Russell, Pieter Abbeel, Anca D. Dragan
2016	J	`jnl`	Cooperative Inverse Reinforcement Learning. CoRR Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	—	`conf`	Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. Robotics: Science and Systems Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
2016	J	`jnl`	Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. CoRR Zita Marinho, Anca D. Dragan, Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Geoffrey J. Gordon
2016	C	`conf`	Generating Plans that Predict Themselves. WAFR Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
2016	A	`conf`	Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
2016	—	`conf`	Implicitly Assisting Humans to Choose Good Grasps in Robot to Human Handovers. ISER Aaron M. Bestick, Ruzena Bajcsy, Anca D. Dragan
2016	—	`conf`	Inferring and assisting with constraints in shared autonomy. CDC Negar Mehr, Roberto Horowitz, Anca D. Dragan
2016	A	`conf`	Information gathering actions over human internal state. IROS Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan
2016	—	`conf`	Planning for Autonomous Cars that Leverage Effects on Human Actions. Robotics: Science and Systems Dorsa Sadigh, Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan
2016	—	`conf`	Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations. CASE Michael Laskey, Jonathan Lee, Caleb Chuck, David V. Gealy, Wesley Yu-Shu Hsieh, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg
2016	A*	`conf`	SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces. ICRA Michael Laskey, Sam Staszak, Wesley Yu-Shu Hsieh, Jeffrey Mahler, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg
2016	J	`jnl`	The Off-Switch Game. CoRR Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	A*	`conf`	Viewpoint-Based Legibility Optimization. HRI Stefanos Nikolaidis, Anca D. Dragan, Siddhartha S. Srinivasa
2015	J	`jnl`	Deceptive robot motion: synthesis, analysis and experiments. Auton. Robots Anca D. Dragan, Rachel M. Holladay, Siddhartha S. Srinivasa
2015	A*	`conf`	Effects of Robot Motion on Human-Robot Collaboration. HRI Anca D. Dragan, Shira Bauman, Jodi Forlizzi, Siddhartha S. Srinivasa
2015	—	`—`	Legible Robot Motion Planning. Anca D. Dragan
2015	A*	`conf`	Movement primitives via optimization. ICRA Anca D. Dragan, Katharina Mülling, J. Andrew Bagnell, Siddhartha S. Srinivasa
2015	B	`conf`	Perceived robot capability. RO-MAN Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa
2014	—	`conf`	An Analysis of Deceptive Robot Motion. Robotics: Science and Systems Anca D. Dragan, Rachel M. Holladay, Siddhartha S. Srinivasa
2014	A*	`conf`	Deliberate delays during robot-to-human handovers improve compliance with gaze communication. HRI Henny Admoni, Anca D. Dragan, Siddhartha S. Srinivasa, Brian Scassellati
2014	A*	`conf`	Effects of speech on perceived capability. HRI Elizabeth Cha, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa
2014	A*	`conf`	Familiarization to robot motion. HRI Anca D. Dragan, Siddhartha S. Srinivasa
2014	J	`jnl`	Integrating human observer inferences into robot motion planning. Auton. Robots Anca D. Dragan, Siddhartha S. Srinivasa
2014	B	`conf`	Legible robot pointing. RO-MAN Rachel M. Holladay, Anca D. Dragan, Siddhartha S. Srinivasa
2014	A*	`conf`	Pre-school children's first encounter with a robot. HRI Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa
2013	J	`jnl`	A policy-blending formalism for shared control. Int. J. Robotics Res. Anca D. Dragan, Siddhartha S. Srinivasa
2013	J	`jnl`	CHOMP: Covariant Hamiltonian optimization for motion planning. Int. J. Robotics Res. Matthew Zucker, Nathan D. Ratliff, Anca D. Dragan, Mihail Pivtoraiko, Matthew Klingensmith, Christopher M. Dellin, J. Andrew Bagnell, Siddhartha S. Srinivasa
2013	A*	`conf`	Collaborative manipulation: new challenges for robotics and HRI. HRI Anca D. Dragan, Andrea Lockerd Thomaz, Siddhartha S. Srinivasa
2013	A*	`conf`	Effects of robot capability on user acceptance. HRI Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa
2013	—	`conf`	Generating Legible Motion. Robotics: Science and Systems Anca D. Dragan, Siddhartha S. Srinivasa
2013	A*	`conf`	Legibility and predictability of robot motion. HRI Anca D. Dragan, Kenton C. T. Lee, Siddhartha S. Srinivasa
2013	A*	`conf`	Legible user input for intent prediction. HRI Kenton C. T. Lee, Anca D. Dragan, Siddhartha S. Srinivasa
2013	J	`jnl`	Teleoperation with intelligent and customizable interfaces. J. Hum. Robot Interact. Anca D. Dragan, Siddhartha S. Srinivasa, Kenton C. T. Lee
2013	J	`jnl`	Toward seamless human-robot handovers. J. Hum. Robot Interact. Kyle Strabala, Min Kyung Lee, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa, Maya Cakmak, Vincenzo Micelli
2012	A*	`conf`	Assistive teleoperation for manipulation tasks. HRI Anca D. Dragan, Siddhartha S. Srinivasa
2012	—	`conf`	Formalizing Assistive Teleoperation. Robotics: Science and Systems Anca D. Dragan, Siddhartha S. Srinivasa
2012	J	`jnl`	Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home. Proc. IEEE 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
2012	B	`conf`	Learning the communication of intent prior to physical collaboration. RO-MAN Kyle Strabala, Min Kyung Lee, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa
2012	B	`conf`	Online customization of teleoperation interfaces. RO-MAN Anca D. Dragan, Siddhartha S. Srinivasa
2011	C	`conf`	Learning from Experience in Manipulation Planning: Setting the Right Goals. ISRR Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
2011	A*	`conf`	Manipulation planning with goal sets using constrained trajectory optimization. ICRA Anca D. Dragan, Nathan D. Ratliff, Siddhartha S. Srinivasa