Publications

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Probabilistic Reasoning Probabilistic Reasoning
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Similarity and Categorization Similarity and Categorization
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Cultural Evolution and Iterated Learning Cultural Evolution and Iterated Learning
Decision Making and Reinforcement Learning Decision Making and Reinforcement Learning

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By Ho, M
Perception
Decision Making and Reinforcement Learning
Sumers, T. R., Ho, M. K., & Griffiths, T. L. (2020). Show or tell? Demonstration is more robust to changes in shared perception than explanation. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pdf)
Decision Making and Reinforcement Learning
Ho, M. K., Abel, D., Cohen, J. D., Littman, M. L., & Griffiths, T. L. (2020). The Efficiency of Human Cognition Reflects Planned Information Processing. Proceedings of the 34th AAAI Conference on Artificial Intelligence. (pdf)
Foundations
Decision Making and Reinforcement Learning
Ho, M. K., Abel, D., Griffiths, T. L., & Littman, M. L. (2019). The value of abstraction. Current Opinion in Behavioral Sciences. (pdf)
Decision Making and Reinforcement Learning
Carroll, M., Shah, R., Ho, M. K., Griffiths, T., Seshia, S., Abbeel, P., & Dragan, A. (2019). On the Utility of Learning about Humans for Human-AI Coordination. In H. Wallach, H. Larochelle, A. Beygelzimer, F. Alché-Buc, E. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems, 32, 5174–5185. (pdf)
Probabilistic Reasoning
Decision Making and Reinforcement Learning
Ho, M. K., Korman, J., & Griffiths, T. L. (2019). The computational structure of unintentional meaning. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pdf)

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