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Michael L Littman

Showing results (1-10 of 10) with videos related to

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Nature|May 29, 2015
Reinforcement learning improves behaviour from evaluative feedbackMichael L Littman
Plos Computational Biology|October 15, 2020
Reward-predictive representations generalize across tasks in reinforcement learningLucas Lehnert, Michael L Littman, Michael J Frank
The American Journal of Medicine|March 7, 2026
Preparing Medical Students for the Future of AI in MedicinePhilip A Gruppuso, Michael L Littman, Emily Oster
Proceedings of the National Academy of Sciences of the United States of America|September 13, 2017
Evolution of flexibility and rigidity in retaliatory punishmentAdam Morris, James MacGlashan, Michael L Littman, et al.
Cognition|March 26, 2017
Social is special: A normative framework for teaching with and learning from evaluative feedbackMark K Ho, James MacGlashan, Michael L Littman, et al.
Journal of Experimental Psychology. General|September 9, 2021
Communication in action: Planning and interpreting communicative demonstrationsMark K Ho, Fiery Cushman, Michael L Littman, et al.
Journal of Experimental Psychology. General|February 26, 2019
People teach with rewards and punishments as communication, not reinforcementsMark K Ho, Fiery Cushman, Michael L Littman, et al.
JMIR Mental Health|June 30, 2017
Initial Progress Toward Development of a Voice-Based Computer-Delivered Motivational Intervention for Heavy Drinking College Students: An Experimental StudyChristopher W Kahler, William J Lechner, James MacGlashan, et al.
Nature|May 19, 2022
People construct simplified mental representations to planMark K Ho, David Abel, Carlos G Correa, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 29, 2023
A domain-agnostic approach for characterization of lifelong learning systemsMegan M Baker, Alexander New, Mario Aguilar-Simon, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Nature|May 29, 2015
Reinforcement learning improves behaviour from evaluative feedbackMichael L Littman
Plos Computational Biology|October 15, 2020
Reward-predictive representations generalize across tasks in reinforcement learningLucas Lehnert, Michael L Littman, Michael J Frank
The American Journal of Medicine|March 7, 2026
Preparing Medical Students for the Future of AI in MedicinePhilip A Gruppuso, Michael L Littman, Emily Oster
Proceedings of the National Academy of Sciences of the United States of America|September 13, 2017
Evolution of flexibility and rigidity in retaliatory punishmentAdam Morris, James MacGlashan, Michael L Littman, et al.
Cognition|March 26, 2017
Social is special: A normative framework for teaching with and learning from evaluative feedbackMark K Ho, James MacGlashan, Michael L Littman, et al.
Journal of Experimental Psychology. General|September 9, 2021
Communication in action: Planning and interpreting communicative demonstrationsMark K Ho, Fiery Cushman, Michael L Littman, et al.
Journal of Experimental Psychology. General|February 26, 2019
People teach with rewards and punishments as communication, not reinforcementsMark K Ho, Fiery Cushman, Michael L Littman, et al.
JMIR Mental Health|June 30, 2017
Initial Progress Toward Development of a Voice-Based Computer-Delivered Motivational Intervention for Heavy Drinking College Students: An Experimental StudyChristopher W Kahler, William J Lechner, James MacGlashan, et al.
Nature|May 19, 2022
People construct simplified mental representations to planMark K Ho, David Abel, Carlos G Correa, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 29, 2023
A domain-agnostic approach for characterization of lifelong learning systemsMegan M Baker, Alexander New, Mario Aguilar-Simon, et al.
Pageof 1