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.
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.
Listen to the Trailer
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!