TalkRL: The Reinforcement Learning Podcast

TalkRL: The Reinforcement Learning Podcast
TalkRL podcast is All Reinforcement Learning, All the Time.

Aravind Srinivas
Sep 20 • 85 min
Aravind Srinivas on his work including CPC v2, RAD, CURL, and SUNRISE, unsupervised learning, teaching a Berkeley course, and more!
Taylor Killian
Aug 17 • 89 min
Taylor Killian on the latest in RL for Health, including Hidden Parameter MDPs, Mimic III and Sepsis, Counterfactually Guided Policy Transfer and lots more!
Nan Jiang
Jul 6 • 71 min
Nan Jiang takes us deep into Model-based vs Model-free RL, Sim vs Real, Evaluation & Overfitting, RL Theory vs Practice and much more!
Danijar Hafner
May 14 • 120 min
Danijar Hafner takes us on an odyssey through deep learning & neuroscience, PlaNet, Dreamer, world models, latent dynamics, curious agents, and more!
Csaba Szepesvari
Apr 5 • 48 min
Csaba Szepesvari of DeepMind shares his views on Bandits, Adversaries, PUCT in AlphaGo / AlphaZero / MuZero, AGI and RL, what is timeless, and more!
Ben Eysenbach
Mar 30 • 49 min
Ben Eysenbach schools us on human supervision, SORB, DIAYN, techniques for exploration, teaching RL, virtual conferences, and much more!
NeurIPS 2019 Deep RL Workshop
Jan 2 • 56 min
Hear directly from presenters at the NeurIPS 2019 Deep RL Workshop on their work!
Scott Fujimoto
Jan 2 • 48 min
Scott Fujimoto expounds on his TD3 and BCQ algorithms, DDPG, Benchmarking Batch RL, and more!
Jessica Hamrick
Jan 2 • 63 min
Jessica Hamrick sheds light on Model-based RL, Structured agents, Mental simulation, Metacontrol, Construction environments, Blueberries, and more!
Pablo Samuel Castro
Jan 1 • 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
Jan 1 • 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
Jan 1 • 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
Jan 1 • 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
Jan 1 • 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
Jan 1 • 1 min
Introducing TalkRL Podcast! Also check out our website at