Videos from Workshops

Playlist: 25 videos

Deep Reinforcement Learning

Videos from Workshops Talks

0:30:45

Deep Robust Reinforcement Learning and Regularization

Shie Mannor (Technion)
https://simons.berkeley.edu/talks/tbd-226
Deep Reinforcement Learning
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0:31:56

Mixed Autonomy Traffic: A Reinforcement Learning Perspective

Cathy Wu (MIT)
https://simons.berkeley.edu/talks/tbd-225
Deep Reinforcement Learning
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0:25:21

CoinDICE: Off-Policy Confidence Interval Estimation via Dual Lens

Bo Dai (Google Brain)
https://simons.berkeley.edu/talks/tbd-220
Deep Reinforcement Learning
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0:32:21

Rigorous Uncertainty Quantification for Off-policy Evaluation in Reinforcement Learning: a Variational Approach

Qiang Liu (UT Austin)
https://simons.berkeley.edu/talks/tbd-211
Deep Reinforcement Learning
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0:31:45

Is Safe Learning the Future of RL?

Scott Niekum (UT Austin)
https://simons.berkeley.edu/talks/tbd-210
Deep Reinforcement Learning
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0:43:39

Policy Gradients Methods, Neural Policy Classes, and Distribution Shift

Sham Kakade (University of Washington)
https://simons.berkeley.edu/talks/tbd-227
Deep Reinforcement Learning
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0:31:56

Fast Reinforcement Learning With Generalized Policy Updates

Doina Precup (McGill Univeristy & MILA / DeepMind)
https://simons.berkeley.edu/talks/tbd-224
Deep Reinforcement Learning
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0:29:34

Exploiting Latent Structure and Bisimulation Metrics for Better Generalization

Amy Zhang (McGill University, Mila Institute, Facebook AI Research)
https://simons.berkeley.edu/talks/tbd-219
Deep Reinforcement Learning
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0:28:29

Invariant Prediction for Generalization in Reinforcement Learning

Clare Lyle (University of Oxford)
https://simons.berkeley.edu/talks/tbd-212
Deep Reinforcement Learning
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0:31:22

Language as a Scaffold for Reinforcement Learning

Jacob Andreas (MIT)
https://simons.berkeley.edu/talks/tbd-209
Deep Reinforcement Learning
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