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Alfredo Garcia

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Regularized Q-Learning with Linear Function Approximation

Jan 26, 2024
Jiachen Xi, Alfredo Garcia, Petar Momcilovic

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Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference

Nov 10, 2023
Johan Engström, Ran Wei, Anthony McDonald, Alfredo Garcia, Matt O'Kelly, Leif Johnson

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A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning

Oct 10, 2023
Ran Wei, Nathan Lambert, Anthony McDonald, Alfredo Garcia, Roberto Calandra

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A Bayesian Approach to Robust Inverse Reinforcement Learning

Sep 15, 2023
Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony McDonald, Mingyi Hong

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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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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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