재정 지원 요구사항을 통해 공개된 자료 - Mark Ho자세히 알아보기
제공된 곳이 있음: 26
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
재정 지원 요구사항 정책: US National Science Foundation
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
재정 지원 요구사항 정책: US National Science Foundation, US National Aeronautics and Space …
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
재정 지원 요구사항 정책: US National Science Foundation
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
재정 지원 요구사항 정책: US National Science Foundation
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Planning with theory of mind
MK Ho, R Saxe, F Cushman
Trends in Cognitive Sciences 26 (11), 959-971, 2022
재정 지원 요구사항 정책: US Department of Defense
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Communication in Action: Planning and Interpreting Communicative Demonstrations
MK Ho, F Cushman, M Littman, JL Austerweil
PsyArXiv, 2019
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy, US Department of …
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
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
재정 지원 요구사항 정책: US National Science Foundation
Feature-based Joint Planning and Norm Learning in Collaborative Games.
MK Ho, J MacGlashan, A Greenwald, ML Littman, E Hilliard, C Trimbach, ...
CogSci, 2016
재정 지원 요구사항 정책: US National Science Foundation
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
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
재정 지원 요구사항 정책: US Department of Defense
Aha! moments correspond to meta-cognitive prediction errors
R Dubey, MK Ho, H Mehta, T Griffiths
PsyArXiv, 2021
재정 지원 요구사항 정책: American Heart Association
A rational model of people’s inferences about others’ preferences based on response times
V Gates, F Callaway, MK Ho, TL Griffiths
Cognition 217, 104885, 2021
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
How to talk so AI will learn: Instructions, descriptions, and autonomy
T Sumers, R Hawkins, MK Ho, T Griffiths, D Hadfield-Menell
Advances in Neural Information Processing Systems 35, 34762-34775, 2022
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
The Efficiency of Human Cognition Reflects Planned Information Processing
MK Ho, D Abel, JD Cohen, ML Littman, TL Griffiths
Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Show or tell? Exploring when (and why) teaching with language outperforms demonstration
TR Sumers, MK Ho, RD Hawkins, TL Griffiths
Cognition 232, 105326, 2023
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
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