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Provable Defense against Backdoor Policies in Reinforcement Learning


Nov 18, 2022
Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu

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* Accepted at Neurips 2022 

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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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Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization


Jun 29, 2022
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang

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Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks


Jun 22, 2022
Shuoguang Yang, Xuezhou Zhang, 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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Byzantine-Robust Online and Offline Distributed Reinforcement Learning


Jun 01, 2022
Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu

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Provable Benefits of Representational Transfer in Reinforcement Learning


May 29, 2022
Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang

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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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* 39 pages 

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Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach


Feb 02, 2022
Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun

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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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