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An active inference model of car following: Advantages and applications


Mar 27, 2023
Ran Wei, Anthony D. McDonald, Alfredo Garcia, Gustav Markkula, Johan Engstrom, Matthew O'Kelly

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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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Decentralized Riemannian Gradient Descent on the Stiefel Manifold


Feb 14, 2021
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour

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On the Local Linear Rate of Consensus on the Stiefel Manifold


Jan 22, 2021
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour

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Dynamic Discrete Choice Estimation with Partially Observable States and Hidden Dynamics


Aug 02, 2020
Yanling Chang, Alfredo Garcia, Zhide Wang

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Distributed Projected Subgradient Method for Weakly Convex Optimization


Apr 28, 2020
Shixiang Chen, Alfredo Garcia, Shahin Shahrampour

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Distributed Estimation via Network Regularization


Oct 28, 2019
Lingzhou Hong, Alfredo Garcia, Ceyhun Eksin

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* 27 pages 

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