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TalkRL: The Reinforcement Learning Podcast
Robin Ranjit Singh Chauhan
72 episodes
1 day ago
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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All content for TalkRL: The Reinforcement Learning Podcast is the property of Robin Ranjit Singh Chauhan and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
Show more...
Technology
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David Abel on the Science of Agency @ RLDM 2025
TalkRL: The Reinforcement Learning Podcast
59 minutes
1 month ago
David Abel on the Science of Agency @ RLDM 2025

David Abel is a Senior Research Scientist at DeepMind on the Agency team, and an Honorary Fellow at the University of Edinburgh. His research blends computer science and philosophy, exploring foundational questions about reinforcement learning, definitions, and the nature of agency.  


Featured References  


Plasticity as the Mirror of Empowerment  
David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh  


A Definition of Continual RL  
David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh  


Agency is Frame-Dependent  
David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh  


On the Expressivity of Markov Reward  
David Abel, Will Dabney, Anna Harutyunyan, Mark Ho, Michael Littman, Doina Precup, Satinder Singh — Outstanding Paper Award, NeurIPS 2021  


Additional References  

  • Bidirectional Communication Theory — Marko 1973  
  • Causality, Feedback and Directed Information — Massey 1990  
  • The Big World Hypothesis — Javed et al. 2024  
  • Loss of plasticity in deep continual learning — Dohare et al. 2024  
  • Three Dogmas of Reinforcement Learning — Abel 2024  
  • Explaining dopamine through prediction errors and beyond — Gershman et al. 2024  
  • David Abel Google Scholar  
  • David Abel personal website  
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.