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