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Theory of Reinforcement Learning
Wednesday, Aug. 19
–
Friday, Dec. 18, 2020
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Programs & Events
Theory of Reinforcement Learning
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Theory of Reinforcement Learning Boot Camp
Monday, Aug. 31
–
Friday, Sept. 4, 2020
Theory of Reinforcement Learning Boot Camp
Csaba Szepesvari
(University of Alberta; chair)
Emma Brunskill
(Stanford University)
Sebastien Bubeck
(Open AI)
Alan Malek
(DeepMind)
Sean Meyn
(University of Florida)
Ambuj Tewari
(University of Michigan)
Mengdi Wang
(Princeton University)
Deep Reinforcement Learning
Monday, Sept. 28
–
Friday, Oct. 2, 2020
Deep Reinforcement Learning
Lihong Li
(Google Brain; chair)
Marc G. Bellemare
(Google Brain)
Mathematics of Online Decision Making
Monday, Oct. 26
–
Friday, Oct. 30, 2020
Mathematics of Online Decision Making
Shipra Agrawal
(Columbia University; chair)
Sebastien Bubeck
(Open AI)
Alan Malek
(DeepMind)
Reinforcement Learning from Batch Data and Simulation
Monday, Nov. 30
–
Friday, Dec. 4, 2020
Reinforcement Learning from Batch Data and Simulation
Mengdi Wang
(Princeton University; chair)
Emma Brunskill
(Stanford University)
Sean Meyn
(University of Florida)
Theory of Reinforcement Learning Reunion
Monday, Nov. 15
–
Thursday, Nov. 18, 2021
Theory of Reinforcement Learning Reunion
Csaba Szepesvari
(University of Alberta; chair)
Emma Brunskill
(Stanford University)
Sebastien Bubeck
(Open AI)
Alan Malek
(DeepMind)
Sean Meyn
(University of Florida)
Ambuj Tewari
(University of Michigan)
Mengdi Wang
(Princeton University)
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