Jinglin Chen

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 20

Top Topics

Graphical Models

Reinforcement Learning

Exploration Exploitation

Top Venues

Publications

Audrey Huang, Jinglin Chen, Nan Jiang
Reinforcement Learning in Low-rank MDPs with Density Features. ICML (2023)
Audrey Huang, Jinglin Chen, Nan Jiang
Extended Abstract: Learning in Low-rank MDPs with Density Features. CISS (2023)
Audrey Huang, Jinglin Chen, Nan Jiang
Reinforcement Learning in Low-Rank MDPs with Density Features. CoRR (2023)
Jinglin Chen, Nan Jiang
Offline Reinforcement Learning Under Value and Density-Ratio Realizability: the Power of Gaps. CoRR (2022)
Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. NeurIPS (2022)
Jinglin Chen, Nan Jiang
Offline reinforcement learning under value and density-ratio realizability: The power of gaps. UAI (2022)
Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. CoRR (2022)
Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. CoRR (2022)
Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. ICLR (2022)
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
Nonstationary Reinforcement Learning with Linear Function Approximation. Trans. Mach. Learn. Res. 2022 (2022)
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
Model-free Representation Learning and Exploration in Low-rank MDPs. CoRR (2021)
Priyank Agrawal, Jinglin Chen, Nan Jiang
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration. AAAI (2021)
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
Nonstationary Reinforcement Learning with Linear Function Approximation. CoRR (2020)
Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion. CoRR (2020)
Priyank Agrawal, Jinglin Chen, Nan Jiang
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration. CoRR (2020)
Jinglin Chen, Nan Jiang
Information-Theoretic Considerations in Batch Reinforcement Learning. ICML (2019)
Jinglin Chen, Nan Jiang
Information-Theoretic Considerations in Batch Reinforcement Learning. CoRR (2019)
Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion. ICLR (Poster) (2019)
Jinglin Chen, Jian Peng, Qiang Liu
Efficient Localized Inference for Large Graphical Models. IJCAI (2018)
Jinglin Chen, Jian Peng, Qiang Liu
Efficient Localized Inference for Large Graphical Models. CoRR (2017)
Zhiwen Bai, Liming Wang, Jinglin Chen, Lin Xu, Jian Liu, Xiyang Liu
DTAD: A Dynamic Taint Analysis Detector for Information Security. WAIM (2008)