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Optimistic Policy Optimization is Provably Efficient in Non- ...
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arXiv
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由 H Zhong 著作2021被引用 19 次 — Abstract:We study episodic reinforcement learning (RL) in non-stationary linear kernel Markov decision processes (MDPs).
Optimistic Policy Optimization is Provably Efficient in Non- ...
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由 H Zhong 著作被引用 19 次 — This paper focuses on non-stationary MDPs with linear function approximation assumptions. This work proposes the first policy optimization ...
OPTIMISTIC POLICY OPTIMIZATION IS PROVABLY EF
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由 H Zhong 著作被引用 19 次 — In this work, we have proposed a probably efficient policy optimization algorithm, dubbed as. PROPO, for non-stationary linear kernel MDPs. Such an algorithm ...
Optimistic Policy Optimization is Provably Efficient in Non- ...
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由 H Zhong 著作2021被引用 19 次 — To our best knowledge, PROPO is the first provably efficient policy optimization algorithm under the non-stationary environment. 1.2 Related ...
Optimistic Policy Optimization is Provably Efficient in Non- ...
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PROPO features two mechanisms: sliding-window-based policy evaluation and periodic-restart-based policy improvement, which are tailored for policy optimization ...
Optimistic Policy Optimization is Provably Efficient in Non- ...
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This work proposes the PROPO algorithm, the first provably efficient policy optimization algorithm that handles non-stationarity, and establishes dynamic ...
Han Zhong - Google Scholar
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Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs. H Zhong, Z Yang, Z Wang, C Szepesvári. arXiv preprint arXiv:2110.08984, 2021. 19 ...
Zhuoran Yang
Papers With Code
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Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs · no code implementations • 18 Oct 2021 • Han Zhong, Zhongren Chen, Zhuoran Yang ...
Provably Efficient Algorithm for Nonstationary Low-Rank ...
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由 Y Cheng 著作被引用 2 次 — In this paper, we make the first effort to investigate nonstationary RL under episodic low-rank. MDPs, where both transition kernels and rewards may vary over ...
Provably efficient algorithm for nonstationary low-rank MDPs
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2024年5月30日 — In this paper, we make the first effort to investigate nonstationary RL under episodic low-rank MDPs, where both transition kernels and rewards ...