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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 26/08/2025

E71: Jake Beck, Alex Goldie, & Cornelius Braun on Sutton's OaK, Metalearning, LLMs, Squirrels at @rl-conference.bsky.social A few thoughts with @jakeabeck.bsky.social, @alexgoldie.bsky.social and @corneliusbraun.bsky.social after Rich Sutton's fascinating lecture on his OaK architecture at UofA

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 26/08/2025

E69: Thomas Akam on Model-based RL in the Brain @ox.ac.uk neuroscientist Prof Akam on RL in brains vs machines, dopamine as TD-error (or not), hippocampal replay & Dyna, model-free vs model-based myths, and why ML experts should consider neuroscience careers.

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 26/08/2025

E67: Stefano Albrecht on Multi-Agent RL @ RLDM 2025 Stefano Albrecht shares the story behind his multi-agent RL textbook, and how DeepFlow AI turns these ideas into action with LLM-powered agents for business automation. Recorded at @rldmdublin2025.bsky.social

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 25/06/2025

E66: Satinder Singh: The Origin Story of RLDM @ RLDM 2025 Professor Satinder Singh of Google DeepMind and U of Michigan is co-founder of ‪@rldmdublin2025.bsky.social‬ Here he narrates the origin story of the Reinforcement Learning and Decision Making meeting (not conference).

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 10/03/2025

E65: NeurIPS 2024 – Posters and Hallways 3 - Claire Bizon Monroc of Inria : WFCRL for Wind Farm Control Andrew Wagenmaker of @ucberkeleyofficial.bsky.social : Leveraging Simulation to Bridge Sim-to-Real Gap - @harwiltz.bsky.social of @mila-quebec.bsky.social : Multivariate Distributional RL (cont)

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 06/03/2025

BSKY E64: NeurIPS 2024 – Posters and Hallways 2 - Jonathan Cook of Oxford: Cultural Accumulation in Reinforcement Learning - Yifei Zhou of Berkeley AI Research: DigiRL for In-The-Wild Device-Control Agents - Rory Young of U Glasgow: A Lyapunov Exponent Approach to RL Robustness (cont'd)

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 03/03/2025

E63: NeurIPS 2024 - Posters and Hallways 1 Jiaheng Hu of UTexas on Unsupervised Skill Discovery for HRL @skandermoalla.bsky.social of EPFL: Representation and Trust in PPO Adil Zouitine of IRT Saint Exupery/Hugging Face : Time-Constrained Robust MDPs

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 10/02/2025

E62: Abhishek Naik on Continuing RL & Average Reward How should RL handle non-episodic tasks, like Mars rovers or HPC scheduling? @abhisheknaik96.bsky.social shares insights from his PhD with Rich Sutton, plus how almost every discounted-reward algorithm can be improved by reward centering.

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Robin Ranjit Singh Chauhan @robinchauhan.bsky.social · 25/12/2024

E61: Neurips 2024 RL meetup Hot takes: "What sucks about RL?" 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.

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