| 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, 5174-5185, 2019 | 431 | 2019 |
| Interactive learning from policy-dependent human feedback J MacGlashan, MK Ho, R Loftin, B Peng, G Wang, DL Roberts, ME Taylor, ... Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 358 | 2017 |
| Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction M Kleiman-Weiner, MK Ho, JL Austerweil, ML Littman, JB Tenenbaum CogSci, 2016 | 187 | 2016 |
| Showing versus doing: Teaching by demonstration MK Ho, M Littman, J MacGlashan, F Cushman, JL Austerweil Advances in neural information processing systems, 3027-3035, 2016 | 136 | 2016 |
| Social is special: A normative framework for teaching with and learning from evaluative feedback MK Ho, J MacGlashan, ML Littman, F Cushman Cognition 167, 91-106, 2017 | 121 | 2017 |
| People construct simplified mental representations to plan MK Ho, D Abel, CG Correa, ML Littman, JD Cohen, TL Griffiths Nature 606 (7912), 129-136, 2022 | 115 | 2022 |
| Planning with theory of mind MK Ho, R Saxe, F Cushman Trends in Cognitive Sciences 26 (11), 959-971, 2022 | 105 | 2022 |
| On the expressivity of markov reward D Abel, W Dabney, A Harutyunyan, MK Ho, M Littman, D Precup, S Singh Advances in Neural Information Processing Systems 34, 7799-7812, 2021 | 102 | 2021 |
| Learning task specifications from demonstrations M Vazquez-Chanlatte, S Jha, A Tiwari, MK Ho, S Seshia Advances in Neural Information Processing Systems 31, 5367-5377, 2018 | 88 | 2018 |
| Communication in Action: Planning and Interpreting Communicative Demonstrations MK Ho, F Cushman, M Littman, JL Austerweil PsyArXiv, 2019 | 67 | 2019 |
| People teach with rewards and punishments as communication, not reinforcements. MK Ho, F Cushman, ML Littman, JL Austerweil Journal of Experimental Psychology: General 148 (3), 520, 2019 | 65 | 2019 |
| Learning rewards from linguistic feedback TR Sumers, MK Ho, RD Hawkins, K Narasimhan, TL Griffiths Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6002-6010, 2021 | 56 | 2021 |
| Punishment is organized around principles of communicative inference A Sarin, MK Ho, JW Martin, FA Cushman Cognition 208, 104544, 2021 | 56 | 2021 |
| The Value of Abstraction MK Ho, D Abel, TL Griffiths, ML Littman Current Opinion in Behavioral Sciences 29, 111-116, 2019 | 54 | 2019 |
| Teaching with rewards and punishments: Reinforcement or communication? MK Ho, ML Littman, F Cushman, JL Austerweil CogSci 3 (3.7), 3, 2015 | 50 | 2015 |
| Feature-based Joint Planning and Norm Learning in Collaborative Games. MK Ho, J MacGlashan, A Greenwald, ML Littman, E Hilliard, C Trimbach, ... CogSci, 2016 | 46 | 2016 |
| Cognitive science as a source of forward and inverse models of human decisions for robotics and control MK Ho, TL Griffiths Annual Review of Control, Robotics, and Autonomous Systems 5 (1), 33-53, 2022 | 39 | 2022 |
| Humans decompose tasks by trading off utility and computational cost CG Correa, MK Ho, F Callaway, ND Daw, TL Griffiths PLOS Computational Biology 19 (6), e1011087, 2023 | 37 | 2023 |
| Punishment as communication F Cushman, A Sarin, M Ho The Oxford handbook of moral psychology, 197-209, 2019 | 31 | 2019 |
| Aha! moments correspond to meta-cognitive prediction errors R Dubey, MK Ho, H Mehta, T Griffiths PsyArXiv, 2021 | 30 | 2021 |
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton Universityprinceton.edu의 이메일 확인됨