Yang, Lin F.

10 publications

NeurIPS 2024 Confident Natural Policy Gradient for Local Planning in $q_\pi$-Realizable Constrained MDPs Tian Tian, Lin F. Yang, Csaba Szepesvári

NeurIPS 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin F. Yang

JMLR 2023 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang

UAI 2021 Minimax Sample Complexity for Turn-Based Stochastic Game Qiwen Cui, Lin F. Yang

AAAI 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation Junhong Shen, Lin F. Yang

ICLR 2020 Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang

COLT 2020 Model-Based Reinforcement Learning with a Generative Model Is Minimax Optimal Alekh Agarwal, Sham Kakade, Lin F. Yang

AISTATS 2019 Towards a Theoretical Understanding of Hashing-Based Neural Nets Yibo Lin, Zhao Song, Lin F. Yang

ICML 2017 Clustering High Dimensional Dynamic Data Streams Vladimir Braverman, Gereon Frahling, Harry Lang, Christian Sohler, Lin F. Yang

ICML 2017 Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao