Anca D Dragan

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Pieter AbbeelUC Berkeley | CovariantVerified email at cs.berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Dylan Hadfield-MenellMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Shankar SastryUniversity of CaliforniaVerified email at berkeley.edu
Andrea BajcsyAssistant Professor at Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Siddharth ReddyVerified email at siddharth.io
Claire TomlinUC BerkeleyVerified email at berkeley.edu
Smitha MilliMeta FAIRVerified email at meta.com
Dorsa SadighStanford UniversityVerified email at cs.stanford.edu
Rohin ShahResearch Scientist, Google DeepMindVerified email at deepmind.com
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Andreea BobuAssistant Professor at the Massachusetts Institute of TechnologyVerified email at mit.edu
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
Sandy H HuangResearch Scientist, DeepMindVerified email at berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Jodi ForlizziProfessor, HCI and School of DesignVerified email at cs.cmu.edu
Kush BhatiaStanford UniversityVerified email at berkeley.edu
Nathan RatliffNVIDIAVerified email at nvidia.com
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu

Anca D Dragan

Assistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMind

Verified email at berkeley.edu - Homepage

AI Alignment Human-AI Collaboration Robotics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Legibility and predictability of robot motion AD Dragan, KCT Lee, SS Srinivasa 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013	862	2013
CHOMP: Covariant Hamiltonian Optimization for Motion Planning M Zucker, N Ratliff, AD Dragan, M Pivtoraiko, M Klingensmith, C Dellin, ... International Journal of Robotics Research, 2013	831	2013
Cooperative Inverse Reinforcement Learning D Hadfield-Menell, A Dragan, P Abbeel, S Russell Neural Information Processing Systems (NIPS), 2016	790	2016
Planning for autonomous cars that leverage effects on human actions. D Sadigh, S Sastry, SA Seshia, AD Dragan Robotics: Science and systems 2, 1-9, 2016	616	2016
Inverse reward design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in neural information processing systems 30, 2017	472	2017
A policy-blending formalism for shared control AD Dragan, SS Srinivasa The International Journal of Robotics Research 32 (7), 790-805, 2013	427	2013
Active preference-based learning of reward functions D Sadigh, AD Dragan, S Sastry, S Seshia RSS, 2017	407	2017
Effects of robot motion on human-robot collaboration AD Dragan, S Bauman, J Forlizzi, SS Srinivasa Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015	398	2015
On the utility of learning about humans for human-ai coordination M Carroll, R Shah, MK Ho, T Griffiths, S Seshia, P Abbeel, A Dragan Advances in neural information processing systems 32, 2019	397	2019
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar	366	2013
Toward seamless human-robot handovers K Strabala, MK Lee, A Dragan, J Forlizzi, SS Srinivasa, M Cakmak, ... Journal of Human-Robot Interaction 2 (1), 112-132, 2013	339	2013
SQIL: imitation learning via regularized behavioral cloning S Reddy, AD Dragan, S Levine arXiv preprint arXiv:1905.11108 2 (5), 2019	332*	2019
Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint arXiv:2307.15217, 2023	317	2023
Hierarchical game-theoretic planning for autonomous vehicles JF Fisac, E Bronstein, E Stefansson, D Sadigh, SS Sastry, AD Dragan 2019 International conference on robotics and automation (ICRA), 9590-9596, 2019	284	2019
Dart: Noise injection for robust imitation learning M Laskey, J Lee, R Fox, A Dragan, K Goldberg Conference on robot learning, 143-156, 2017	264	2017
Information gathering actions over human internal state D Sadigh, SS Sastry, SA Seshia, A Dragan 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	240	2016
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state D Sadigh, N Landolfi, SS Sastry, SA Seshia, AD Dragan Autonomous Robots 42, 1405-1426, 2018	221	2018
Generating legible motion A Dragan, S Srinivasa Carnegie Mellon University, 2013	218	2013
Do you want your autonomous car to drive like you? C Basu, Q Yang, D Hungerman, M Singhal, AD Dragan Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot …, 2017	208	2017
The social cost of strategic classification S Milli, J Miller, AD Dragan, M Hardt Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019	200	2019

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