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Xuezhou Zhang

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Scale-free Adversarial Reinforcement Learning

Mar 01, 2024
Mingyu Chen, Xuezhou Zhang

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Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback

Nov 14, 2023
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li

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Federated Multi-Level Optimization over Decentralized Networks

Oct 10, 2023
Shuoguang Yang, Xuezhou Zhang, Mengdi Wang

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Improved Algorithms for Adversarial Bandits with Unbounded Losses

Oct 03, 2023
Mingyu Chen, Xuezhou Zhang

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Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP

Jun 21, 2023
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang

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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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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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