| Transformers as statisticians: Provable in-context learning with in-context algorithm selection Y Bai, F Chen, H Wang, C Xiong, S Mei Advances in neural information processing systems 36, 2024 | 101 | 2024 |
| Unified algorithms for rl with decision-estimation coefficients: No-regret, pac, and reward-free learning F Chen, S Mei, Y Bai arXiv preprint arXiv:2209.11745, 2022 | 34 | 2022 |
| Partially observable rl with b-stability: Unified structural condition and sharp sample-efficient algorithms F Chen, Y Bai, S Mei arXiv preprint arXiv:2209.14990, 2022 | 20 | 2022 |
| Independent natural policy gradient methods for potential games: Finite-time global convergence with entropy regularization S Cen, F Chen, Y Chi 2022 IEEE 61st Conference on Decision and Control (CDC), 2833-2838, 2022 | 13 | 2022 |
| Lower bounds for learning in revealing POMDPs F Chen, H Wang, C Xiong, S Mei, Y Bai International Conference on Machine Learning, 5104-5161, 2023 | 10 | 2023 |
| A near-optimal primal-dual method for off-policy learning in CMDP F Chen, J Zhang, Z Wen Advances in Neural Information Processing Systems 35, 10521-10532, 2022 | 6 | 2022 |
| A unified primal-dual algorithm framework for inequality constrained problems Z Zhu, F Chen, J Zhang, Z Wen Journal of Scientific Computing 97 (2), 39, 2023 | 4 | 2023 |
| Near-Optimal Learning and Planning in Separated Latent MDPs F Chen, C Daskalakis, N Golowich, A Rakhlin arXiv preprint arXiv:2406.07920, 2024 | | 2024 |
| On the Optimal Lower and Upper Complexity Bounds for a Class of Composite Optimization Problems Z Zhu, F Chen, J Zhang, Z Wen arXiv preprint arXiv:2308.06470, 2023 | | 2023 |
