Results

Poster	Tue 14:00	Reinforcement Learning with Logarithmic Regret and Policy Switches Grigoris Velegkas · Zhuoran Yang · Amin Karbasi
Poster		On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation Valentin Thomas
Poster	Tue 14:00	A Statistical Online Inference Approach in Averaged Stochastic Approximation Chuhan Xie · Zhihua Zhang
Poster	Tue 9:00	Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design Andrew Wagenmaker · Kevin Jamieson
Workshop		A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen · Chris Junchi Li · Angela Yuan · Quanquan Gu · Michael Jordan
Workshop		Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation Dan Qiao · Yu-Xiang Wang
Affinity Workshop		Adapting the Function Approximation Architecture in Online Reinforcement Learning Fatima Davelouis · John Martin · Joseph Modayil · Michael Bowling
Poster	Tue 14:00	Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han · Suraj Srinivas · Himabindu Lakkaraju
Poster	Wed 14:00	Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium Chris Junchi Li · Dongruo Zhou · Quanquan Gu · Michael Jordan
Affinity Workshop		Adapting the Function Approximation Architecture in Online Reinforcement Learning John Martin · Joseph Modayil · Fatima Davelouis · Michael Bowling
Poster	Thu 14:00	Provably Efficient Model-Free Constrained RL with Linear Function Approximation Arnob Ghosh · Xingyu Zhou · Ness Shroff
Poster	Thu 9:00	Approximation with CNNs in Sobolev Space: with Applications to Classification Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang