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.
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Pierluca D'Oro and Martin Klissarov on Motif and RLAIF, Noisy Neighborhoods and Return Landscapes, and more! more
Martin Riedmiller of Google DeepMind on controlling nuclear fusion plasma in a tokamak with RL, the original Deep Q-Network, Neural Fitted Q-Iteration, Collect and Infer, AGI for control systems, and tons more! more
Max Schwarzer is a PhD student at Mila, with Aaron Courville and Marc Bellemare, interested in RL scaling, representation learning for RL, and RL for science. Max spent the last 1.5 years at Google Brain/DeepMind, and is now at Apple Machine Learning... more
I love this! Great questions and amazing guests. I can’t wait till the next one.
I am a first-year PhD student and I love this podcast. It helps me to be exposed to so many idea and find fellow RL researchers. Thank you Robin for putting this together. more
I had the pleasure of finding this podcast as a listener and then being on it within a month or two. Robin does a great job and is here to help improve the experience for the community. more
Great work Robin!
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this podcast launched 4 years ago and published 48 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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