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Jinglin Chen
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Cited by
Year
Information-theoretic considerations in batch reinforcement learning
J Chen, N Jiang
International Conference on Machine Learning, 1042-1051, 2019
3482019
Model-free representation learning and exploration in low-rank mdps
A Modi*, J Chen*, A Krishnamurthy, N Jiang, A Agarwal
Journal of Machine Learning Research, 2024
782024
Nonstationary reinforcement learning with linear function approximation
H Zhou, J Chen, LR Varshney, A Jagmohan
Transactions on Machine Learning Research, 2022
332022
Accelerating nonconvex learning via replica exchange Langevin diffusion
Y Chen, J Chen, J Dong, J Peng, Z Wang
International Conference on Learning Representations, 2019
332019
Offline reinforcement learning under value and density-ratio realizability: The power of gaps
J Chen, N Jiang
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
292022
On the statistical efficiency of reward-free exploration in non-linear RL
J Chen*, A Modi*, A Krishnamurthy, N Jiang, A Agarwal
Advances in Neural Information Processing Systems, 2022
242022
Towards deployment-efficient reinforcement learning: Lower bound and optimality
J Huang, J Chen, L Zhao, T Qin, N Jiang, TY Liu
International Conference on Learning Representations, 2022
242022
Improved worst-case regret bounds for randomized least-squares value iteration
P Agrawal*, J Chen*, N Jiang
Proceedings of the AAAI Conference on Artificial Intelligence, 6566--6573, 2021
202021
Reinforcement learning in low-rank MDPs with density features
A Huang*, J Chen*, N Jiang
International Conference on Machine Learning, 2023
122023
Efficient localized inference for large graphical models
J Chen, J Peng, Q Liu
27th International Joint Conference on Artificial Intelligence, IJCAI 2018 …, 2018
2018
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Articles 1–10