Michael Littman
ACM Fellow Professor Michael L Littman enlightens us on Human feedback in RL, his Udacity courses, Theory of Mind, organizing the RLDM Conference, RL past and present, Hollywood cameos, and much more!
TalkRL: The Reinforcement Learning Podcast
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Show Notes
Michael L Littman is a professor of Computer Science at Brown University. He was elected ACM Fellow in 2018 "For contributions to the design and analysis of sequential decision making algorithms in artificial intelligence".
Featured References
Convergent Actor Critic by Humans
James MacGlashan, Michael L. Littman, David L. Roberts, Robert Tyler Loftin, Bei Peng, Matthew E. Taylor
People teach with rewards and punishments as communication, not reinforcements
Mark Ho, Fiery Cushman, Michael L. Littman, Joseph Austerweil
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum
Personalized education at scale
Saarinen, Cater, Littman
Additional References
- Michael Littman papers on Google Scholar, Semantic Scholar
- Reinforcement Learning on Udacity, Charles Isbell, Michael Littman, Chris Pryby
- Machine Learning on Udacity, Michael Littman, Charles Isbell, Pushkar Kolhe
- Temporal Difference Learning and TD-Gammon, Gerald Tesauro
- Playing Atari with Deep Reinforcement Learning, Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller
- Ask Me Anything about MOOCs, D Fisher, C Isbell, ML Littman, M Wollowski, et al
- Reinforcement Learning and Decision Making (RLDM) Conference
- Algorithms for Sequential Decision Making, Michael Littman's Thesis
- Machine Learning A Cappella - Overfitting Thriller!, Michael Littman and Charles Isbell feat Infinite Harmony
- Turbotax Ad 2016: Genius Anna/Michael Littman