07:15 – 10:15 Tutorial Statistical Foundations of Reinforcement Learning Akshay Krishnamurthy, Wen Sun
11:20 – 11:25 Talk Statistical Query Algorithms and Low Degree Tests Are Almost Equivalent Publications connexes Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm
11:10 – 11:35 Talk Towards a Dimension-Free Understanding of Adaptive Linear Control Publications connexes Towards a Dimension-Free Understanding of Adaptive Linear Control Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett
11:35 – 11:55 Talk Corruption-robust exploration in episodic reinforcement learning Publications connexes Corruption Robust Exploration in Episodic Reinforcement Learning Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
11:10 – 11:35 Talk Adaptive Discretization for Adversarial Lipschitz Bandits Publications connexes Adaptive Discretization for Adversarial Lipschitz Bandits Chara Podimata, Aleksandrs Slivkins
11:40 – 11:55 Talk Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation Publications connexes Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation. Andrea Zanette, Ching-An Cheng, Alekh Agarwal