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Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation


Oct 18, 2022
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

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* 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 

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Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity


Aug 11, 2022
Laixi Shi, Yuejie Chi

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Settling the Sample Complexity of Model-Based Offline Reinforcement Learning


Apr 11, 2022
Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei

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Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity


Feb 28, 2022
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi

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Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning


Oct 09, 2021
Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi

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* Short version in Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently


Nov 25, 2019
Laixi Shi, Yuejie Chi

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* submitted 

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