| Cooperative inverse reinforcement learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in neural information processing systems 29, 2016 | 581 | 2016 |
| Inverse reward design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in neural information processing systems 30, 2017 | 333 | 2017 |
| The off-switch game D Hadfield-Menell, A Dragan, P Abbeel, S Russell arXiv preprint arXiv:1611.08219, 2016 | 114 | 2016 |
| 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 | 69 | 2020 |
| On the geometry of adversarial examples M Khoury, D Hadfield-Menell arXiv preprint arXiv:1811.00525, 2018 | 64 | 2018 |
| 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 | 64 | 2016 |
| Should robots be obedient? S Milli, D Hadfield-Menell, A Dragan, S Russell arXiv preprint arXiv:1705.09990, 2017 | 61 | 2017 |
| 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 | 47 | 2017 |
| 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 | 47 | 2015 |
| 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 | 45 | 2020 |
| 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 | 42 | 2019 |
| 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 | 41 | 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 | 40 | 2019 |
| 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 | 39 | 2021 |
| 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 | 36 | 2014 |
| Simplifying reward design through divide-and-conquer E Ratner, D Hadfield-Menell, AD Dragan arXiv preprint arXiv:1806.02501, 2018 | 35 | 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 | 29 | 2018 |
| Adversarial training with voronoi constraints M Khoury, D Hadfield-Menell arXiv preprint arXiv:1905.01019, 2019 | 24 | 2019 |
| Active inverse reward design S Mindermann, R Shah, A Gleave, D Hadfield-Menell arXiv preprint arXiv:1809.03060, 2018 | 22 | 2018 |
| Consequences of misaligned AI S Zhuang, D Hadfield-Menell Advances in Neural Information Processing Systems 33, 15763-15773, 2020 | 20 | 2020 |
Anca D DraganAssistant Professor at UC BerkeleyVerified email at berkeley.edu
