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Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning


Feb 15, 2023
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong

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Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees


Oct 04, 2022
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong

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* arXiv admin note: text overlap with arXiv:2210.01282 

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Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees


Oct 04, 2022
Siliang Zeng, Mingyi Hong, Alfredo Garcia

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Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees


Oct 11, 2021
Siliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong

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A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization


Feb 15, 2021
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

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* 34 Pages, 10 Figures 

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On the Divergence of Decentralized Non-Convex Optimization


Jun 20, 2020
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun

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* 34 pages 

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