Shimon Whiteson
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!
TalkRL: The Reinforcement Learning Podcast
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Show Notes
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