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Theory of Reinforcement Learning_hi-res logo

Theory of Reinforcement Learning

Wednesday, Aug. 19 – Friday, Dec. 18, 2020

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Theory of Reinforcement Learning Boot Camp
Aug. 31 – Sept. 4, 2020
Theory of Reinforcement Learning Boot Camp
Csaba Szepesvari (University of Alberta; chair)
Emma Brunskill (Stanford University)
Sébastien Bubeck (Microsoft Research Redmond)
Alan Malek (DeepMind)
Sean Meyn (University of Florida)
Ambuj Tewari (University of Michigan)
Mengdi Wang (Princeton University)
Details of Theory of Reinforcement Learning Boot Camp
Deep Reinforcement Learning
Sept. 28 – Oct. 2, 2020
Deep Reinforcement Learning
Lihong Li (Google Brain; chair)
Marc G. Bellemare (Google Brain)
Details of Deep Reinforcement Learning
Mathematics of Online Decision Making
Oct. 26 – 30, 2020
Mathematics of Online Decision Making
Shipra Agrawal (Columbia University; chair)
Sébastien Bubeck (Microsoft Research Redmond)
Alan Malek (DeepMind)
Details of Mathematics of Online Decision Making
Reinforcement Learning from Batch Data and Simulation
Nov. 30 – Dec. 4, 2020
Reinforcement Learning from Batch Data and Simulation
Mengdi Wang (Princeton University; chair)
Emma Brunskill (Stanford University)
Sean Meyn (University of Florida)
Details of Reinforcement Learning from Batch Data and Simulation
Theory of Reinforcement Learning Reunion
Nov. 15 – 18, 2021
Theory of Reinforcement Learning Reunion
Csaba Szepesvari (University of Alberta; chair)
Emma Brunskill (Stanford University)
Sébastien Bubeck (Microsoft Research Redmond)
Alan Malek (DeepMind)
Sean Meyn (University of Florida)
Ambuj Tewari (University of Michigan)
Mengdi Wang (Princeton University)
Details of Theory of Reinforcement Learning Reunion
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