Playlist: 24 videos

Theory of Reinforcement Learning Boot Camp

1:17:7

Planning and Markov Decision Processes (Part 1)

Csaba Szepesvari (University of Alberta, Google DeepMind) & Mengdi Wang (Princeton University, Google DeepMind)
https://simons.berkeley.edu/talks/tbd-160
Theory of Reinforcement Learning Boot Camp
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1:13:5

Planning and Markov Decision Processes (Part 2)

Csaba Szepesvari (University of Alberta, Google DeepMind) & Mengdi Wang (Princeton University, Google DeepMind)
https://simons.berkeley.edu/talks/tbd-175
Theory of Reinforcement Learning Boot Camp
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1:1:56

Online Learning and Bandits (Part 1)

Alan Malek (DeepMind) & Wouter Koolen (Centrum Wiskunde & Informatica)
https://simons.berkeley.edu/talks/tbd-176
Theory of Reinforcement Learning Boot Camp
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1:3:38

Online Learning and Bandits (Part 2)

Alan Malek (DeepMind) & Wouter Koolen (Centrum Wiskunde & Informatica)
https://simons.berkeley.edu/talks/tbd-181
Theory of Reinforcement Learning Boot Camp
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1:5:1

Optimizing Intended Reward Functions: Extracting All the Right Information From All the Right Places

Anca Dragan (UC Berkeley)
https://simons.berkeley.edu/talks/tbd-182
Theory of Reinforcement Learning Boot Camp
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1:25:37

Online Learning in MDPs (Part 1)

Ambuj Tewari (University of Michigan)
https://simons.berkeley.edu/talks/tbd-183
Theory of Reinforcement Learning Boot Camp
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1:13:18

Online Learning in MDPs (Part 2)

Gergely Neu (UPF)
https://simons.berkeley.edu/talks/tbd-187
Theory of Reinforcement Learning Boot Camp
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0:59:1

Batch (Offline) RL (Part 1)

Emma Brunskill (Stanford University)
https://simons.berkeley.edu/talks/tbd-191
Theory of Reinforcement Learning Boot Camp
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1:2:59

Batch (Offline) RL (Part 2)

Emma Brunskill (Stanford University)
https://simons.berkeley.edu/talks/tbd-195
Theory of Reinforcement Learning Boot Camp
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1:13:34

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Stephan Zheng (Salesforce Research)
https://simons.berkeley.edu/talks/tbd-199
Theory of Reinforcement Learning Boot Camp
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