Mark Ho
Mark Ho
Postdoctoral Researcher, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
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
1182017
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
1092016
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
682017
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
602016
Feature-based Joint Planning and Norm Learning in Collaborative Games.
MK Ho, J MacGlashan, A Greenwald, ML Littman, E Hilliard, C Trimbach, ...
CogSci, 2016
372016
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
352019
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
302018
Teaching with rewards and punishments: Reinforcement or communication?
MK Ho, ML Littman, F Cushman, JL Austerweil
CogSci, 2015
282015
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
142019
The Value of Abstraction
MK Ho, D Abel, TL Griffiths, ML Littman
Current Opinion in Behavioral Sciences 29, 111-116, 2019
112019
Effectively Learning from Pedagogical Demonstrations
MK Ho, ML Littman, F Cushman, JL Austerweil
Proceedings of the Annual Conference of the Cognitive Science Society, 2018
82018
Punishment as communication
F Cushman, A Sarin, MK Ho
PsyArXiv, 2019
62019
Learning Rewards from Linguistic Feedback
TR Sumers, MK Ho, RD Hawkins, K Narasimhan, TL Griffiths
arXiv preprint arXiv:2009.14715, 2020
52020
How other-regarding preferences can promote cooperation in non-zero-sum grid games
JL Austerweil, S Brawner, A Greenwald, E Hilliard, M Ho, ML Littman, ...
Proceedings of the AAAI Symposium on Challenges and Opportunities in …, 2016
52016
Punishment is organized around principles of communicative inference
A Sarin, MK Ho, JW Martin, FA Cushman
Cognition 208, 104544, 2021
42021
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
42020
Human Priors in Hierarchical Program Induction
MK Ho, S Sanborn, F Callaway, D Bourgin, TL Griffiths
3*
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
YS Chuang, X Zhang, Y Ma, MK Ho, JL Austerweil, X Zhu
arXiv preprint arXiv:2009.02476, 2020
22020
Resource-rational Task Decomposition to Minimize Planning Costs
CG Correa, MK Ho, F Callaway, TL Griffiths
arXiv preprint arXiv:2007.13862, 2020
22020
Communication in Action: Planning and Interpreting Communicative Demonstrations
MK Ho, F Cushman, M Littman, JL Austerweil
PsyArXiv, 2019
2*2019
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