Jinglin Chen

According to our database, Jinglin Chen authored at least 12 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Free Representation Learning and Exploration in Low-Rank MDPs.

Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

J. Mach. Learn. Res., 2024

2023

Reinforcement Learning in Low-rank MDPs with Density Features.

Audrey Huang, Jinglin Chen, Nan Jiang

Proceedings of the International Conference on Machine Learning, 2023

Extended Abstract: Learning in Low-rank MDPs with Density Features.

Audrey Huang, Jinglin Chen, Nan Jiang

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Nonstationary Reinforcement Learning with Linear Function Approximation.

Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan

Trans. Mach. Learn. Res., 2022

Offline reinforcement learning under value and density-ratio realizability: The power of gaps.

Jinglin Chen, Nan Jiang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL.

Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality.

Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Priyank Agrawal, Jinglin Chen, Nan Jiang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Information-Theoretic Considerations in Batch Reinforcement Learning.

Jinglin Chen, Nan Jiang

Proceedings of the 36th International Conference on Machine Learning, 2019

Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion.

Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Efficient Localized Inference for Large Graphical Models.

Jinglin Chen, Jian Peng, Qiang Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2008

DTAD: A Dynamic Taint Analysis Detector for Information Security.

Zhiwen Bai, Liming Wang, Jinglin Chen, Lin Xu, Jian Liu, Xiyang Liu

Proceedings of the Ninth International Conference on Web-Age Information Management, 2008