| Human-level play in the game of Diplomacy by combining language models with strategic reasoning Meta Fundamental AI Research Diplomacy Team (FAIR)†, A Bakhtin, ... Science 378 (6624), 1067-1074, 2022 | 271 | 2022 |
| Reward design with language models M Kwon, SM Xie, K Bullard, D Sadigh arXiv preprint arXiv:2303.00001, 2023 | 251 | 2023 |
| Human expectations of social robots M Kwon, MF Jung, RA Knepper 2016 11th ACM/IEEE international conference on human-robot interaction (HRI …, 2016 | 195 | 2016 |
| Expressing robot incapability M Kwon, SH Huang, AD Dragan Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 161 | 2018 |
| Evaluating human-language model interaction M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ... arXiv preprint arXiv:2212.09746, 2022 | 126 | 2022 |
| When humans aren't optimal: Robots that collaborate with risk-aware humans M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh Proceedings of the 2020 ACM/IEEE international conference on human-robot …, 2020 | 119 | 2020 |
| Planning with verbal communication for human-robot collaboration S Nikolaidis, M Kwon, J Forlizzi, S Srinivasa ACM Transactions on Human-Robot Interaction (THRI) 7 (3), 1-21, 2018 | 93 | 2018 |
| Distilling and retrieving generalizable knowledge for robot manipulation via language corrections L Zha, Y Cui, LH Lin, M Kwon, MG Arenas, A Zeng, F Xia, D Sadigh 2024 IEEE International Conference on Robotics and Automation (ICRA), 15172 …, 2024 | 34 | 2024 |
| Continual adaptation for efficient machine communication RD Hawkins, M Kwon, D Sadigh, ND Goodman Proceedings of the Conference on Computational Natural Language Learning (CoNLL), 2020 | 32 | 2020 |
| Influencing Leading and Following in Human-Robot Teams. M Kwon, M Li, A Bucquet, D Sadigh Robotics: Science and Systems 45, 959-978, 2019 | 23 | 2019 |
| Influencing leading and following in human–robot teams M Li, M Kwon, D Sadigh Autonomous Robots 45, 959-978, 2021 | 21 | 2021 |
| Transfer reinforcement learning across homotopy classes Z Cao, M Kwon, D Sadigh IEEE Robotics and Automation Letters 6 (2), 2706-2713, 2021 | 20 | 2021 |
| Toward grounded social reasoning M Kwon, H Hu, V Myers, S Karamcheti, A Dragan, D Sadigh arXiv preprint arXiv:2306.08651, 2023 | 15 | 2023 |
| Toward grounded commonsense reasoning M Kwon, H Hu, V Myers, S Karamcheti, A Dragan, D Sadigh 2024 IEEE International Conference on Robotics and Automation (ICRA), 5463-5470, 2024 | 13 | 2024 |
| Targeted data acquisition for evolving negotiation agents M Kwon, S Karamcheti, MF Cuellar, D Sadigh International Conference on Machine Learning, 5894-5904, 2021 | 10 | 2021 |
| Auto-aligning multiagent incentives with global objectives M Kwon, JP Agapiou, EA Duéñez-Guzmán, R Elie, G Piliouras, K Bullard, ... ICML Workshop on Localized Learning (LLW), 2023 | 7 | 2023 |
| When humans aren’t optimal: Robots that collaborate with risk-aware humans. In 2020 15th ACM M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh IEEE International Conference on Human-Robot Interaction (HRI), 43-52, 0 | 7 | |
| An exploration of implicit attitudes towards robots using implicit measures M Kwon, M Ferguson, R Knepper Unpublished manuscript, Departments of Computer Science and Psychology …, 2019 | 5 | 2019 |
| When Humans Aren’t Optimal: Agents that Collaborate with Risk-Aware Humans M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh | | |
Dorsa SadighStanford UniversityПодтвержден адрес электронной почты в домене cs.stanford.edu