| Cooperative inverse reinforcement learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in neural information processing systems 29, 2016 | 662 | 2016 |
| Inverse reward design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in neural information processing systems 30, 2017 | 379 | 2017 |
| The off-switch game D Hadfield-Menell, A Dragan, P Abbeel, S Russell Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 135 | 2017 |
| Pragmatic-pedagogic value alignment JF Fisac, MA Gates, JB Hamrick, C Liu, D Hadfield-Menell, ... Robotics Research: The 18th International Symposium ISRR, 49-57, 2020 | 84 | 2020 |
| Guided search for task and motion plans using learned heuristics R Chitnis, D Hadfield-Menell, A Gupta, S Srivastava, E Groshev, C Lin, ... 2016 IEEE International Conference on Robotics and Automation (ICRA), 447-454, 2016 | 75 | 2016 |
| On the geometry of adversarial examples M Khoury, D Hadfield-Menell arXiv preprint arXiv:1811.00525, 2018 | 74 | 2018 |
| Should robots be obedient? S Milli, D Hadfield-Menell, A Dragan, S Russell arXiv preprint arXiv:1705.09990, 2017 | 71 | 2017 |
| Incomplete contracting and AI alignment D Hadfield-Menell, GK Hadfield Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 417-422, 2019 | 61 | 2019 |
| Conservative agency via attainable utility preservation AM Turner, D Hadfield-Menell, P Tadepalli Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 385-391, 2020 | 54 | 2020 |
| Expressive robot motion timing A Zhou, D Hadfield-Menell, A Nagabandi, AD Dragan Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017 | 53 | 2017 |
| What are you optimizing for? aligning recommender systems with human values J Stray, I Vendrov, J Nixon, S Adler, D Hadfield-Menell arXiv preprint arXiv:2107.10939, 2021 | 51 | 2021 |
| Modular task and motion planning in belief space D Hadfield-Menell, E Groshev, R Chitnis, P Abbeel 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 50 | 2015 |
| The assistive multi-armed bandit L Chan, D Hadfield-Menell, S Srinivasa, A Dragan 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 48 | 2019 |
| On the utility of model learning in hri R Choudhury, G Swamy, D Hadfield-Menell, AD Dragan 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 47 | 2019 |
| Toward transparent ai: A survey on interpreting the inner structures of deep neural networks T Räuker, A Ho, S Casper, D Hadfield-Menell 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 464-483, 2023 | 45 | 2023 |
| 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 | 44 | 2023 |
| Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects AX Lee, SH Huang, D Hadfield-Menell, E Tzeng, P Abbeel 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 40 | 2014 |
| Consequences of misaligned AI S Zhuang, D Hadfield-Menell Advances in Neural Information Processing Systems 33, 15763-15773, 2020 | 39 | 2020 |
| Simplifying reward design through divide-and-conquer E Ratner, D Hadfield-Menell, AD Dragan arXiv preprint arXiv:1806.02501, 2018 | 36 | 2018 |
| An efficient, generalized Bellman update for cooperative inverse reinforcement learning D Malik, M Palaniappan, J Fisac, D Hadfield-Menell, S Russell, A Dragan International Conference on Machine Learning, 3394-3402, 2018 | 32 | 2018 |
Anca D DraganAssistant Professor at UC BerkeleyVerified email at berkeley.edu
