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Near-Optimal No-Regret Learning for General Convex Games


Jun 20, 2022
Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm


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Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games


Apr 25, 2022
Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm


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Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games


Feb 01, 2022
Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer


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Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses


Jul 18, 2021
Haipeng Luo, Chen-Yu Wei, Chung-Wei Lee


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Last-iterate Convergence in Extensive-Form Games


Jun 27, 2021
Chung-Wei Lee, Christian Kroer, Haipeng Luo


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Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously


Feb 12, 2021
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang


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Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games


Feb 08, 2021
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo


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Linear Last-iterate Convergence for Matrix Games and Stochastic Games


Jun 16, 2020
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang


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Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs


Jun 14, 2020
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang


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