Anca D. Dragan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
108
Venues
15
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
108 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Context Steering: Controllable Personalization at Inference Time. | Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan |
| 2025 | ICLR | Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning. | Joey Hong, Anca D. Dragan, Sergey Levine |
| 2025 | ICLR | Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking. | Cassidy Laidlaw, Shivam Singhal, Anca D. Dragan |
| 2025 | ICLR | On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. | Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan |
| 2025 | ICML | Adversaries Can Misuse Combinations of Safe Models. | Erik Jones, Anca D. Dragan, Jacob Steinhardt |
| 2025 | ICML | AssistanceZero: Scalably Solving Assistance Games. | Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan |
| 2024 | AAAI | 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 |
| 2024 | CoRL | Trajectory Improvement and Reward Learning from Comparative Language Feedback. | Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik |
| 2024 | HRI | Aligning Human and Robot Representations. | Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan |
| 2024 | ICLR | Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. | Joey Hong, Anca D. Dragan, Sergey Levine |
| 2024 | ICLR | The Effective Horizon Explains Deep RL Performance in Stochastic Environments. | Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan |
| 2024 | ICLR | Confronting Reward Model Overoptimization with Constrained RLHF. | Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer |
| 2024 | ICML | AI Alignment with Changing and Influenceable Reward Functions. | Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan |
| 2024 | ICML | Learning to Model the World With Language. | Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan |
| 2024 | ICML | Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. | Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach |
| 2024 | ICML | Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. | Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan |
| 2024 | ICRA | A Generalized Acquisition Function for Preference-based Reward Learning. | Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik |
| 2024 | ICRA | Toward Grounded Commonsense Reasoning. | Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh |
| 2023 | AAAI | 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 |
| 2023 | CoRL | Quantifying Assistive Robustness Via the Natural-Adversarial Frontier. | Jerry Zhi-Yang He, Daniel S. Brown, Zackory Erickson, Anca D. Dragan |
| 2023 | CoRL | 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 |
| 2023 | HRI | SIRL: Similarity-based Implicit Representation Learning. | Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan |
| 2023 | HRI | Towards Modeling and Influencing the Dynamics of Human Learning. | Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy |
| 2023 | ICLR | On the Sensitivity of Reward Inference to Misspecified Human Models. | Joey Hong, Kush Bhatia, Anca D. Dragan |
| 2023 | ICLR | Causal Confusion and Reward Misidentification in Preference-Based Reward Learning. | Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson, Anca D. Dragan, Daniel S. Brown |
| 2023 | ICML | Contextual Reliability: When Different Features Matter in Different Contexts. | Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan |
| 2023 | ICML | Automatically Auditing Large Language Models via Discrete Optimization. | Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt |
| 2023 | IROS | Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. | Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine |
| 2022 | ACL | Inferring Rewards from Language in Context. | Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan |
| 2022 | CoRL | Learning Representations that Enable Generalization in Assistive Tasks. | Jerry Zhi-Yang He, Zackory Erickson, Daniel S. Brown, Aditi Raghunathan, Anca D. Dragan |
| 2022 | ICLR | The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models. | Cassidy Laidlaw, Anca D. Dragan |
| 2022 | ICML | Estimating and Penalizing Induced Preference Shifts in Recommender Systems. | Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell |
| 2022 | ICRA | ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. | Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine |
| 2022 | IROS | Teaching Robots to Span the Space of Functional Expressive Motion. | Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan |
| 2022 | ICRA | Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. | Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan |
| 2021 | CoRL | Assisted Robust Reward Design. | Jerry Zhi-Yang He, Anca D. Dragan |
| 2021 | HRI | Feature Expansive Reward Learning: Rethinking Human Input. | Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan |
| 2021 | ICLR | 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 |
| 2021 | ICLR | Learning What To Do by Simulating the Past. | David Lindner, Rohin Shah, Pieter Abbeel, Anca D. Dragan |
| 2021 | ICML | Value Alignment Verification. | Daniel S. Brown, Jordan Schneider, Anca D. Dragan, Scott Niekum |
| 2021 | ICML | 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 |
| 2021 | ICRA | Analyzing Human Models that Adapt Online. | Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan |
| 2021 | ICRA | Dynamically Switching Human Prediction Models for Efficient Planning. | Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan |
| 2021 | ICRA | Situational Confidence Assistance for Lifelong Shared Autonomy. | Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan |
| 2021 | RecSys | Estimating and Penalizing Preference Shift in Recommender Systems. | Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan |
| 2020 | CoRL | Assisted Perception: Optimizing Observations to Communicate State. | Siddharth Reddy, Sergey Levine, Anca D. Dragan |
| 2020 | HRI | LESS is More: Rethinking Probabilistic Models of Human Behavior. | Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan |
| 2020 | ICLR | SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards. | Siddharth Reddy, Anca D. Dragan, Sergey Levine |
| 2020 | ICML | Learning Human Objectives by Evaluating Hypothetical Behavior. | Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike |
| 2020 | IJCAI | Choice Set Misspecification in Reward Inference. | Rachel Freedman, Rohin Shah, Anca D. Dragan |
| 2020 | ICRA | 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 |
| 2020 | ICRA | 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 |
| 2020 | ICRA | Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. | Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan |
| 2019 | AIES | Specifying AI Objectives as a Human-AI Collaboration problem. | Anca D. Dragan |
| 2019 | AIES | Human-AI Learning Performance in Multi-Armed Bandits. | Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan |
| 2019 | CoRL | Nonverbal Robot Feedback for Human Teachers. | Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan |
| 2019 | HRI | The Assistive Multi-Armed Bandit. | Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan |
| 2019 | HRI | On the Utility of Model Learning in HRI. | Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan |
| 2019 | ICLR | Preferences Implicit in the State of the World. | Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca D. Dragan |
| 2019 | ICML | On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. | Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan |
| 2019 | ICML | Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. | Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn |
| 2019 | ICRA | 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 |
| 2019 | ICRA | Hierarchical Game-Theoretic Planning for Autonomous Vehicles. | Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan |
| 2019 | ICRA | Learning from Extrapolated Corrections. | Jason Y. Zhang, Anca D. Dragan |
| 2019 | UAI | Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. | Smitha Milli, Anca D. Dragan |
| 2018 | CoRL | Learning under Misspecified Objective Spaces. | Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan |
| 2018 | HRI | Learning from Physical Human Corrections, One Feature at a Time. | Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan |
| 2018 | HRI | Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries. | Chandrayee Basu, Mukesh Singhal, Anca D. Dragan |
| 2018 | HRI | Explainable Robotic Systems. | Maartje M. A. de Graaf, Bertram F. Malle, Anca D. Dragan, Tom Ziemke |
| 2018 | HRI | Expressing Robot Incapability. | Minae Kwon, Sandy H. Huang, Anca D. Dragan |
| 2018 | ICML | 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 |
| 2018 | ICRA | Learning Human Ergonomic Preferences for Handovers. | Aaron M. Bestick, Ravi Pandya, Ruzena Bajcsy, Anca D. Dragan |
| 2018 | IROS | Establishing Appropriate Trust via Critical States. | Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan |
| 2018 | IROS | Configuration Space Metrics. | Hong Jun Jeon, Anca D. Dragan |
| 2018 | IROS | Social Cohesion in Autonomous Driving. | Nicholas C. Landolfi, Anca D. Dragan |
| 2018 | IROS | Courteous Autonomous Cars. | Liting Sun, Wei Zhan, Masayoshi Tomizuka, Anca D. Dragan |
| 2018 | IROS | Cost Functions for Robot Motion Style. | Allan Zhou, Anca D. Dragan |
| 2017 | AAAI | The Off-Switch Game. | Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | ACL | Translating Neuralese. | Jacob Andreas, Anca D. Dragan, Dan Klein |
| 2017 | CoRL | Learning Robot Objectives from Physical Human Interaction. | Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan |
| 2017 | CoRL | DART: Noise Injection for Robust Imitation Learning. | Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg |
| 2017 | HRI | Do You Want Your Autonomous Car To Drive Like You? | Chandrayee Basu, Qian Yang, David Hungerman, Mukesh Singhal, Anca D. Dragan |
| 2017 | HRI | Expressive Robot Motion Timing. | Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan |
| 2017 | IJCAI | The Off-Switch Game. | Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | IJCAI | Should Robots be Obedient? | Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell |
| 2017 | ICRA | Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. | Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Ken Goldberg |
| 2017 | ISRR | 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 |
| 2016 | HRI | Viewpoint-Based Legibility Optimization. | Stefanos Nikolaidis, Anca D. Dragan, Siddhartha S. Srinivasa |
| 2016 | ICRA | 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 |
| 2016 | IROS | Information gathering actions over human internal state. | Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan |
| 2016 | WAFR | Generating Plans that Predict Themselves. | Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan |
| 2015 | HRI | Effects of Robot Motion on Human-Robot Collaboration. | Anca D. Dragan, Shira Bauman, Jodi Forlizzi, Siddhartha S. Srinivasa |
| 2015 | ICRA | Movement primitives via optimization. | Anca D. Dragan, Katharina Mlling, J. Andrew Bagnell, Siddhartha S. Srinivasa |
| 2015 | RO-MAN | Perceived robot capability. | Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa |
| 2014 | HRI | Deliberate delays during robot-to-human handovers improve compliance with gaze communication. | Henny Admoni, Anca D. Dragan, Siddhartha S. Srinivasa, Brian Scassellati |
| 2014 | HRI | Effects of speech on perceived capability. | Elizabeth Cha, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa |
| 2014 | HRI | Pre-school children's first encounter with a robot. | Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa |
| 2014 | HRI | Familiarization to robot motion. | Anca D. Dragan, Siddhartha S. Srinivasa |
| 2014 | RO-MAN | Legible robot pointing. | Rachel M. Holladay, Anca D. Dragan, Siddhartha S. Srinivasa |
| 2013 | HRI | Effects of robot capability on user acceptance. | Elizabeth Cha, Anca D. Dragan, Siddhartha S. Srinivasa |
| 2013 | HRI | Legibility and predictability of robot motion. | Anca D. Dragan, Kenton C. T. Lee, Siddhartha S. Srinivasa |
| 2013 | HRI | Collaborative manipulation: new challenges for robotics and HRI. | Anca D. Dragan, Andrea Lockerd Thomaz, Siddhartha S. Srinivasa |
| 2013 | HRI | Legible user input for intent prediction. | Kenton C. T. Lee, Anca D. Dragan, Siddhartha S. Srinivasa |
| 2012 | HRI | Assistive teleoperation for manipulation tasks. | Anca D. Dragan, Siddhartha S. Srinivasa |
| 2012 | RO-MAN | Online customization of teleoperation interfaces. | Anca D. Dragan, Siddhartha S. Srinivasa |
| 2012 | RO-MAN | Learning the communication of intent prior to physical collaboration. | Kyle Strabala, Min Kyung Lee, Anca D. Dragan, Jodi Forlizzi, Siddhartha S. Srinivasa |
| 2011 | ICRA | Manipulation planning with goal sets using constrained trajectory optimization. | Anca D. Dragan, Nathan D. Ratliff, Siddhartha S. Srinivasa |
| 2011 | ISRR | Learning from Experience in Manipulation Planning: Setting the Right Goals. | Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S. Srinivasa |