Chen, Jinglin

10 publications

JMLR 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

ICML 2023 Reinforcement Learning in Low-Rank MDPs with Density Features Audrey Huang, Jinglin Chen, Nan Jiang

TMLR 2022 Nonstationary Reinforcement Learning with Linear Function Approximation Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan

UAI 2022 Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of Gaps Jinglin Chen, Nan Jiang

NeurIPS 2022 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

ICLR 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

AAAI 2021 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration Priyank Agrawal, Jinglin Chen, Nan Jiang

ICLR 2019 Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

ICML 2019 Information-Theoretic Considerations in Batch Reinforcement Learning Jinglin Chen, Nan Jiang

IJCAI 2018 Efficient Localized Inference for Large Graphical Models Jinglin Chen, Jian Peng, Qiang Liu