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EPISODE · Dec 6, 2020 · 53 MIN

Shimon Whiteson

from TalkRL: The Reinforcement Learning Podcast · host Robin Ranjit Singh Chauhan

Shimon Whiteson is a Professor of Computer Science at Oxford University, the head of WhiRL, the Whiteson Research Lab at Oxford, and Head of Research at Waymo UK. Featured References VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson Additional References Shimon Whiteson - Multi-agent RL, MIT Embodied Intelligence Seminar The StarCraft Multi-Agent Challenge, Samvelyan et al 2019 Direct Policy Transfer with Hidden Parameter Markov Decision Processes, Yao et al  2018 Value-Decomposition Networks For Cooperative Multi-Agent Learning, Sunehag et al 2017 Whiteson Research Lab Waymo acquires Latent Logic to accelerate progress towards safe, driverless vehicles, Oxford News Waymo 

Shimon Whiteson on his WhiRL lab, his work at Waymo UK, variBAD, QMIX, co-operative multi-agent RL, StarCraft Multi-Agent Challenge, advice to grad students, and much more!

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Shimon Whiteson

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Shimon Whiteson is a Professor of Computer Science at Oxford University, the head of WhiRL, the Whiteson Research Lab at Oxford, and Head of Research at Waymo UK. Featured References VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via...

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