TalkRL: The Reinforcement Learning Podcast26 Jan 2021

Michael Dennis

Michael Dennis is a PhD student at the Center for Human-Compatible AI at UC Berkeley, supervised by Professor Stuart Russell.

I'm interested in robustness in RL and multi-agent RL, specifically as it applies to making the interaction between AI systems and society at large to be more beneficial.

--Michael Dennis

Featured References

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design [PAIRED]
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart Russell, Andrew Critch, Sergey Levine
Videos

Adversarial Policies: Attacking Deep Reinforcement Learning

Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
Homepage and Videos

Accumulating Risk Capital Through Investing in Cooperation
Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell

Quantifying Differences in Reward Functions [EPIC]
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike

Additional References

Safe Opponent Exploitation, Sam Ganzfried And Tuomas Sandholm 2015
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning, Natasha Jaques et al 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research, Leibo et al 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning, Karl Cobbe et al 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions, Wang et al 2019
Consequences of Misaligned AI, Zhuang et al 2020
Conservative Agency via Attainable Utility Preservation, Turner et al 2019

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Episoder(74)

Thomas Frost on Clinical RL with Natural Timings

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 learn...

14 Aug 1h 27min

Danijar Hafner on Dreamer v4

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 LillicrapO...

10 Nov 20251h 40min

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 foundati...

8 Sep 202559min

Jake Beck, Alex Goldie, & Cornelius Braun on Sutton's OaK, Metalearning, LLMs, Squirrels @ RLC 2025

Recorded at Reinforcement Learning Conference 2025 at University of Alberta, Edmonton Alberta Canada.Featured ReferencesLecture on the Oak Architecture, Rich SuttonAlberta Plan, Rich Sutton with Mike ...

19 Aug 202512min

Outstanding Paper Award Winners - 2/2 @ RLC 2025

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 Can...

18 Aug 202514min

Outstanding Paper Award Winners - 1/2 @ RLC 2025

15 Aug 20256min

Thomas Akam on Model-based RL in the Brain

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, an...

4 Aug 202552min

Stefano Albrecht on Multi-Agent RL @ RLDM 2025

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-auth...

22 Jul 202531min