受强制性开放获取政策约束的文章 - Zhang Zihan了解详情
可在其他位置公开访问的文章：5 篇
Almost optimal model-free reinforcement learningvia reference-advantage decomposition
Z Zhang, Y Zhou, X Ji
Advances in Neural Information Processing Systems 33, 15198-15207, 2020
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Improved variance-aware confidence sets for linear bandits and linear mixture mdp
Z Zhang, J Yang, X Ji, SS Du
Advances in Neural Information Processing Systems 34, 4342-4355, 2021
强制性开放获取政策： US National Science Foundation
Horizon-free reinforcement learning in polynomial time: the power of stationary policies
Z Zhang, X Ji, S Du
Conference on Learning Theory, 3858-3904, 2022
强制性开放获取政策： US National Science Foundation
Sharper model-free reinforcement learning for average-reward markov decision processes
Z Zhang, Q Xie
The Thirty Sixth Annual Conference on Learning Theory, 5476-5477, 2023
强制性开放获取政策： US National Science Foundation
Sharp variance-dependent bounds in reinforcement learning: Best of both worlds in stochastic and deterministic environments
R Zhou, Z Zihan, SS Du
International Conference on Machine Learning, 42878-42914, 2023
强制性开放获取政策： US National Science Foundation
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