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Chengzhuo Ni
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Representation Learning for General-sum Low-rank Markov Games


Oct 30, 2022
Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang

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Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization


Jun 05, 2022
Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang

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Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory


Feb 10, 2022
Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang

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Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration


Jan 31, 2022
Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang

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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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On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method


Feb 17, 2021
Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvari, Mengdi Wang

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Learning to Control in Metric Space with Optimal Regret


May 05, 2019
Lin F. Yang, Chengzhuo Ni, Mengdi Wang

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