Search All 2022 Events
 

28 Results

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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
Affinity Workshop
Adapting the Function Approximation Architecture in Online Reinforcement Learning
John Martin · Joseph Modayil · Fatima Davelouis · 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
Poster
Thu 9:00 Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang
Poster
Thu 14:00 Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff