TalkRL: Reinforcement Learning Interviews

TalkRL: Reinforcement Learning Interviews
TalkRL podcast is All Reinforcement Learning, All the time.

Scott Fujimoto
Nov 18 • 48 min
Scott Fujimoto expounds on his TD3 and BCQ algorithms, DDPG, Benchmarking Batch RL, and more!
Jessica Hamrick
Nov 11 • 63 min
Jessica Hamrick sheds light on Model-based RL, Structured agents, Mental simulation, Metacontrol, Construction environments, Blueberries, and more!
Pablo Samuel Castro
Oct 9 • 56 min
Pablo Samuel Castro drops in and drops knowledge on distributional RL, bisimulation, the Dopamine RL Framework, TF-Agents, and much more!
Kamyar Azizzadenesheli
Sep 20 • 85 min
Kamyar Azizzadenesheli brings us insight on Bayesian RL, Generative Adversarial Tree search, what goes into great RL papers, and much more!
Antonin Raffin and Ashley Hill
Sep 4 • 34 min
Antonin Raffin and Ashley Hill discuss Stable Baselines past, present and future, State Representation Learning, S-RL Toolbox, RL on real robots, big compute for RL and much more!
Michael Littman
Aug 23 • 71 min
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!
Natasha Jaques
Aug 9 • 50 min
Natasha Jaques talks about her PhD, her papers on Social Influence in Multi-Agent RL, ML & Climate Change, Sequential Social Dilemmas, internships at DeepMind and Google Brain, Autocurricula, and more!
About TalkRL Podcast: All Reinforcement Learning, All the Time
Aug 2 • 1 min
Introducing TalkRL Podcast! Also check out our website at