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The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model


May 26, 2023
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi

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The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond


May 18, 2023
Jiin Woo, Gauri Joshi, Yuejie Chi

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* Short version at ICML 2023 

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Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning


May 17, 2023
Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen

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Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression


May 17, 2023
Boyue Li, Yuejie Chi

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The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing


Feb 02, 2023
Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma

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Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods


Jan 30, 2023
Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen

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Deep Unfolded Tensor Robust PCA with Self-supervised Learning


Dec 21, 2022
Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi

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Asynchronous Gradient Play in Zero-Sum Multi-agent Games


Nov 16, 2022
Ruicheng Ao, Shicong Cen, Yuejie Chi

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Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games


Oct 04, 2022
Shicong Cen, Yuejie Chi, Simon S. Du, Lin Xiao

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Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model


Aug 22, 2022
Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen

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