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!

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

Creators & Guests

Host

Robin Ranjit Singh Chauhan

🌱 Head of Eng @AgFunder 🧠 AI:Reinforcement Learning/ML/DL/NLP🎙️Host @TalkRLPodcast 💳 ex-@Microsoft ecomm PgmMgr 🤖 @UWaterloo CompEng 🇨🇦 🇮🇳

What is TalkRL: The Reinforcement Learning Podcast?

TalkRL podcast is All Reinforcement Learning, All the Time.
In-depth interviews with brilliant people at the forefront of RL research and practice.
Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.