Mark Ho
Mark Ho
Assistant Professor, New York University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Planning with theory of mind
MK Ho, R Saxe, F Cushman
Trends in Cognitive Sciences 26 (11), 959-971, 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
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
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
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
Communication in Action: Planning and Interpreting Communicative Demonstrations
MK Ho, F Cushman, M Littman, JL Austerweil
PsyArXiv, 2019
Punishment is organized around principles of communicative inference
A Sarin, MK Ho, JW Martin, FA Cushman
Cognition 208, 104544, 2021
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
The Value of Abstraction
MK Ho, D Abel, TL Griffiths, ML Littman
Current Opinion in Behavioral Sciences 29, 111-116, 2019
Teaching with rewards and punishments: Reinforcement or communication?
MK Ho, ML Littman, F Cushman, JL Austerweil
CogSci 3 (3.7), 3, 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
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
Punishment as communication
F Cushman, A Sarin, M Ho
The Oxford handbook of moral psychology, 197-209, 2019
Aha! moments correspond to meta-cognitive prediction errors
R Dubey, MK Ho, H Mehta, T Griffiths
PsyArXiv, 2021
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
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