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Learning Good State and Action Representations via Tensor Decomposition


May 03, 2021
Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang


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Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning


Mar 25, 2021
Yaqi Duan, Chi Jin, Zhiyuan Li


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Bootstrapping Statistical Inference for Off-Policy Evaluation


Feb 09, 2021
Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang


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Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient


Nov 08, 2020
Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang


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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation


Feb 21, 2020
Yaqi Duan, Mengdi Wang


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Learning low-dimensional state embeddings and metastable clusters from time series data


Jun 01, 2019
Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang


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State Aggregation Learning from Markov Transition Data


Nov 06, 2018
Yaqi Duan, Zheng Tracy Ke, Mengdi Wang


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Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains


Oct 14, 2018
Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan


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