technology
Hosted by Robin Ranjit Singh Chauhan · technology · EN
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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Contact path
Verified email
Booking probability
33%
Guest openness
Selective
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Signup to Generate a PitchTalkRL 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.
TalkRL: The Reinforcement Learning Podcast is hosted by Robin Ranjit Singh Chauhan. The show has published 74 episodes to date.
Recent episodes include "Thomas Frost on Clinical RL with Natural Timings" (14 August 2026, 87 minutes), "Danijar Hafner on Dreamer v4" (10 November 2025, 101 minutes), and "David Abel on the Science of Agency @ RLDM 2025" (8 September 2025, 60 minutes).
TalkRL: The Reinforcement Learning Podcast publishes roughly every two weeks, with episodes averaging 28 minutes across 74 episodes.
Booking probability for TalkRL: The Reinforcement Learning Podcast is 33%, and the host is rated Selective on guests. TalkRL: The Reinforcement Learning Podcast requires a Pod Score of 80 or higher. TalkRL: The Reinforcement Learning Podcast's contact route on record: verified email.
The strongest fits for TalkRL: The Reinforcement Learning Podcast are Scientific Research & Development. TalkRL: The Reinforcement Learning Podcast has a technology audience.
Robin Ranjit Singh Chauhan hosts TalkRL: The Reinforcement Learning Podcast, a technology podcast with 74 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
TalkRL: The Reinforcement Learning Podcast
Dr Thomas Frost is an emergency physician based in London, UK. He is also in the final stages of completing a PhD at University College London, where he has been looking at offline reinforcement learning applied to...
Episode #73
Danijar Hafner was a Research Scientist at Google DeepMind until recently. Featured References Training Agents Inside of Scalable World Models [ blog ] Danijar Hafner, Wilson Yan, Timothy Lillicrap One Step Diffusion...
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...
Episode #71
Recorded at Reinforcement Learning Conference 2025 at University of Alberta, Edmonton Alberta Canada. Featured References Lecture on the Oak Architecture , Rich Sutton Alberta Plan , Rich Sutton with Mike Bowling and...
We caught up with the RLC Outstanding Paper award winners for your listening pleasure. Recorded on location at Reinforcement Learning Conference 2025 , at University of Alberta, in Edmonton Alberta Canada in August...
We caught up with the RLC Outstanding Paper award winners for your listening pleasure. Recorded on location at Reinforcement Learning Conference 2025 , at University of Alberta, in Edmonton Alberta Canada in August...
Episode #68
Prof Thomas Akam is a Neuroscientist at the Oxford University Department of Experimental Psychology. He is a Wellcome Career Development Fellow and Associate Professor at the University of Oxford, and leads the...
Stefano V. Albrecht was previously Associate Professor at the University of Edinburgh, and is currently serving as Director of AI at startup Deepflow . He is a Program Chair of RLDM 2025 and is co-author of the MIT...
Professor Satinder Singh of Google DeepMind and U of Michigan is co-founder of RLDM. Here he narrates the origin story of the Reinforcement Learning and Decision Making meeting (not conference). Recorded on location at...
Episode #65
Posters and Hallway episodes are short interviews and poster summaries. Recorded at NeurIPS 2024 in Vancouver BC Canada. Featuring Claire Bizon Monroc from Inria: WFCRL: A Multi-Agent Reinforcement Learning Benchmark...
Episode #64
Posters and Hallway episodes are short interviews and poster summaries. Recorded at NeurIPS 2024 in Vancouver BC Canada. Featuring Jonathan Cook from University of Oxford: Artificial Generational Intelligence: Cultural...
Episode #63
Posters and Hallway episodes are short interviews and poster summaries. Recorded at NeurIPS 2024 in Vancouver BC Canada. Featuring Jiaheng Hu of University of Texas: Disentangled Unsupervised Skill Discovery for...
Abhishek Naik was a student at University of Alberta and Alberta Machine Intelligence Institute, and he just finished his PhD in reinforcement learning, working with Rich Sutton. Now he is a postdoc fellow at the...
What do RL researchers complain about after hours at the bar? In this "Hot takes" episode, we find out! Recorded at The Pearl in downtown Vancouver, during the RL meetup after a day of Neurips 2024. Special thanks to...
Episode #60
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA. Featuring: 0:01 David Radke of the Chicago Blackhawks NHL on RL for professional sports 0:56 Abhishek Naik from...
Episode #59
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA. Featuring: 0:01 David Abel from DeepMind on 3 Dogmas of RL 0:55 Kevin Wang from Brown on learning variable...
Episode #58
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA. Featuring: 0:01 Kris De Asis from Openmind on Time Discretization 2:23 Anna Hakhverdyan from U of Alberta on...
Episode #57
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA. Featuring: 0:01 Hector Kohler from Centre Inria de l'Université de Lille with " Interpretable and Editable...
Episode #56
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA. Featuring: 0:01 Ann Huang from Harvard on Learning Dynamics and the Geometry of Neural Dynamics in Recurrent...
Finale Doshi-Velez is a Professor at the Harvard Paulson School of Engineering and Applied Sciences. This off-the-cuff interview was recorded at UMass Amherst during the workshop day of RL Conference on August 9th 2024...
Recent guests on TalkRL: The Reinforcement Learning Podcast. Study who booked and why before you pitch.
Researcher, Ethnographer, Questioner, Jonathan's Construction and Flooring
Senior Vice President of Sales, University of Glasgow
professor of computer science, University of Alberta Computer Poker Research Group
Medical Director of the Providence Clinical Network LGBTQIA+ program, Swedish First Hill Family Medicine Residency
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