TalkRL Podcast is all Reinforcement Learning, all the time.

In-depth interviews with brilliant people at the forefront of RL research and practice.

With guests from leading places including MILA, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, Anyscale, and Vector Institute.

Hosted by Robin Ranjit Singh Chauhan.

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Latest Episodes

NeurIPS 2019 Deep RL Workshop

Hear directly from presenters at the NeurIPS 2019 Deep RL Workshop on their work!

Scott Fujimoto

Scott Fujimoto expounds on his TD3 and BCQ algorithms, DDPG, Benchmarking Batch RL, and more!

Jessica Hamrick

Jessica Hamrick sheds light on Model-based RL, Structured agents, Mental simulation, Metacontrol, Construction environments, Blueberries, and more!

Pablo Samuel Castro

Pablo Samuel Castro drops in and drops knowledge on distributional RL, bisimulation, the Dopamine RL Framework, TF-Agents, and much more!

Kamyar Azizzadenesheli

Kamyar Azizzadenesheli brings us insight on Bayesian RL, Generative Adversarial Tree search, what goes into great RL papers, and much more!

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