–
Coffee & Check In (Gather.town)
–
Opening Remarks
–
Online Learning with A Lot of Batch Data

Shie Mannor (Technion & NVIDIA)
Video
–
Learning Multi-Agent Collaborations With Decomposition

Yuandong Tian (Facebook AI Research)
Video
–
Beyond Worst-Case: Instance-Dependent Optimality in Reinforcement Learning

Martin Wainwright (UC Berkeley)
Video
–
Break
–
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay

Doina Precup (McGill University)
Video
–
Confident Off-policy Evaluation and Selection through Self-Normalized Importance Weighting

Ilja Kuzborskij (DeepMind)
Video
–
Coffee & Check In (Gather.town)
–
Robust Learning of Stochastic Dynamical Systems

Munther Dahleh (MIT)
Video
–
Monte Carlo Sampling Approach to Solving Stochastic Multistage Programs

Alex Shapiro (Georgia Tech)
Video
–
Reinforcement Learning using Generative Models for Continuous State and Action Space Systems

Rahul Jain (USC)
Video
–
Break
–
Batch Value-function Approximation with Only Realizability

Nan Jiang (University of Illinois at Urbana-Champaign)
Video
–
Uniform Offline Policy Evaluation and Offline Learning in Tabular RL

Yu-Xiang Wang (UC Santa Barbara)
Video
–
Coffee & Check In (Gather.town)
–
Zap Q-learning with Nonlinear Function Approximation

Sean Meyn (University of Florida)
Video
–
Q-learning with Uniformly Bounded Variance

Adithya Devraj (Stanford)
Video
–
The Mean-Squared Error of Double Q-Learning

R. Srikant (University of Illinois at Urbana-Champaign)
Video
–
Break
–
Panel Discussion
–
Coffee & Check In (Gather.town)
–
Batch Policy Learning in Average Reward Markov Decision Processes

Peng Liao (Harvard)
Video
–
Multiagent Reinforcement Learning: Rollout and Policy Iteration

Dimitri Bertsekas (ASU & MIT)
Video
–
Statistical Efficiency in Offline Reinforcement Learning

Nathan Kallus (Cornell)
Video
–
Break
–
Nearly Minimax Optimal Reward-Free Reinforcement Learning

Simon Du (University of Washington)
Video
–
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

Devavrat Shah (MIT)
Video
–
Coffee & Check In (Gather.town)
–
Stable Reinforcement Learning with Unbounded State Space

Qiaomin Xie (Cornell)
Video
–
Policy Evaluation under Interference

Stefan Wager (Stanford)
Video
–
Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear Quadratic Regulator Problem

Mihailo Jovanovic (USC)
Video
–
Break
–
Offline Reinforcement Learning and Model-Based Optimization

Sergey Levine (UC Berkeley)
Video
–
Panel Discussion