Playlist: 19 videos

Reinforcement Learning from Batch Data and Simulation

0:28:41

Zap Q-learning with Nonlinear Function Approximation

Sean Meyn (University of Florida)
https://simons.berkeley.edu/talks/tbd-244
Reinforcement Learning from Batch Data and Simulation
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0:30:36

Q-learning with Uniformly Bounded Variance

Adithya Devraj (Stanford)
https://simons.berkeley.edu/talks/tbd-245
Reinforcement Learning from Batch Data and Simulation
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0:35:26

The Mean-Squared Error of Double Q-Learning

R. Srikant (University of Illinois at Urbana-Champaign)
https://simons.berkeley.edu/talks/tbd-246
Reinforcement Learning from Batch Data and Simulation
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0:31:35

Batch Policy Learning in Average Reward Markov Decision Processes

Peng Liao (Harvard)
https://simons.berkeley.edu/talks/tbd-247
Reinforcement Learning from Batch Data and Simulation
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0:36:31

Multiagent Reinforcement Learning: Rollout and Policy Iteration

Dimitri Bertsekas (ASU & MIT)
https://simons.berkeley.edu/talks/tbd-248
Reinforcement Learning from Batch Data and Simulation
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0:40:31

Statistical Efficiency in Offline Reinforcement Learning

Nathan Kallus (Cornell)
https://simons.berkeley.edu/talks/tbd-249
Reinforcement Learning from Batch Data and Simulation
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0:30:50

Nearly Minimax Optimal Reward-Free Reinforcement Learning

Simon Du (University of Washington)
https://simons.berkeley.edu/talks/tbd-250
Reinforcement Learning from Batch Data and Simulation
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0:35:6

Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

Devavrat Shah (MIT)
https://simons.berkeley.edu/talks/tbd-252
Reinforcement Learning from Batch Data and Simulation
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0:31:0

Stable Reinforcement Learning with Unbounded State Space

Qiaomin Xie (Cornell)
https://simons.berkeley.edu/talks/tbd-251
Reinforcement Learning from Batch Data and Simulation
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0:30:26

Policy Evaluation under Interference

Stefan Wager (Stanford)
https://simons.berkeley.edu/talks/tbd-253
Reinforcement Learning from Batch Data and Simulation
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