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Sequential Decision-Making
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Optimal-PhiBE: A PDE-based Model-free framework for Continuous-time Reinforcement Learning [pdf]
Yuhua Zhu, Yuming Paul Zhang, Haoyu Zhang.
Preprint, 2025
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On Bellman Equations for Continuous-time Policy Evaluation: High-order Discretization and Function Approximation. [pdf]
Wenlong Mou, Yuhua Zhu*.
Preprint, 2024.
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PhiBE: A PDE-based Bellman Equation for Continuous Time Policy Evaluation. [pdf]
Yuhua Zhu.
Preprint, 2024.
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Continuous-in-time Limit for Bayesian Bandits. [pdf]
Yuhua Zhu, Zachary Izzo and Lexing Ying.​
Journal of Machine Learning Research (JMLR), 2023.
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Operator Augmentation for Model-based Policy Evaluation. [pdf]
Xun Tang, Lexing Ying and Yuhua Zhu*.​
Communications in Mathematical Sciences, 2023. ​
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Variational Actor-Critic Algorithms. [pdf]
Yuhua Zhu and Lexing Ying.​
ESAIM: Control, Optimisation and Calculus of Variations, 2023.
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A Note on Optimization Formulations of Markov Decision Processes. [pdf]
Lexing Ying and Yuhua Zhu.​
Communications in Mathematical Sciences, 2021, to appear.​
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Borrowing From the Future: Addressing Double Sampling in Model-free Control. [pdf]
Yuhua Zhu, Zachary Izzo and Lexing Ying
Mathematical and Scientific Machine Learning, PMLR, 2021.​
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Borrowing From the Future: An Attempt to Address Double Sampling. [pdf]
Yuhua Zhu and Lexing Ying.
Mathematical and Scientific Machine Learning, PMLR 107:246-268, 2020.
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*: Alphabetical authorship.
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