EPISODE · Aug 23, 2019 · 1H 11M
Michael Littman
from TalkRL: The Reinforcement Learning Podcast · host Robin Ranjit Singh Chauhan
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
What this episode covers
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!
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Michael Littman
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