TalkRL: The Reinforcement Learning Podcast

TalkRL: The Reinforcement Learning Podcast

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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Episoder(74)

Glen Berseth on RL Conference

Glen Berseth on RL Conference

Glen Berseth is an assistant professor at the Université de Montréal, a core academic member of the Mila - Quebec AI Institute, a Canada CIFAR AI chair, member l'Institute Courtios, and co-director of...

11 Mar 202421min

Ian Osband

Ian Osband

Ian Osband is a Research scientist at OpenAI (ex DeepMind, Stanford) working on decision making under uncertainty.  We spoke about: - Information theory and RL - Exploration, epistemic uncertainty and...

7 Mar 20241h 8min

Sharath Chandra Raparthy

Sharath Chandra Raparthy

Sharath Chandra Raparthy on In-Context Learning for Sequential Decision Tasks, GFlowNets, and more!  Sharath Chandra Raparthy is an AI Resident at FAIR at Meta, and did his Master's at Mila.  Featured...

12 Feb 202440min

Pierluca D'Oro and Martin Klissarov

Pierluca D'Oro and Martin Klissarov

Pierluca D'Oro and Martin Klissarov on Motif and RLAIF, Noisy Neighborhoods and Return Landscapes, and more!  Pierluca D'Oro is PhD student at Mila and visiting researcher at Meta.Martin Klissarov is ...

13 Nov 202357min

Martin Riedmiller

Martin Riedmiller

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 ...

22 Aug 20231h 13min

Max Schwarzer

Max Schwarzer

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 B...

8 Aug 20231h 10min

Julian Togelius

Julian Togelius

Julian Togelius is an Associate Professor of Computer Science and Engineering at NYU, and Cofounder and research director at modl.ai  Featured References  Choose Your Weapon: Survival Strategies for D...

25 Jul 202340min

 Jakob Foerster

Jakob Foerster

Jakob Foerster on Multi-Agent learning, Cooperation vs Competition, Emergent Communication, Zero-shot coordination, Opponent Shaping, agents for Hanabi and Prisoner's Dilemma, and more.  Jakob Foerste...

8 Mai 20231h 3min

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