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Model-free Representation Learning and Exploration in Low-rank MDPs


Feb 14, 2021
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal


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Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration


Oct 23, 2020
Priyank Agrawal, Jinglin Chen, Nan Jiang

* 36 pages 

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Nonstationary Reinforcement Learning with Linear Function Approximation


Oct 15, 2020
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan


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Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion


Jul 04, 2020
Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang


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Information-Theoretic Considerations in Batch Reinforcement Learning


May 01, 2019
Jinglin Chen, Nan Jiang

* Published in ICML 2019 

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Efficient Localized Inference for Large Graphical Models


Oct 28, 2017
Jinglin Chen, Jian Peng, Qiang Liu


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