Variance reduced value iteration and faster algorithms for solving Markov decision processes-Reference-Cited by-同舟云学术

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Variance reduced value iteration and faster algorithms for solving Markov decision processes

Published:2021-04-22 Issue: Volume: Page:
ISSN:0894-069X
Container-title:Naval Research Logistics (NRL)
language:en
Short-container-title:Naval Research Logistics

Author:

Sidford Aaron¹^ORCID,Wang Mengdi²³,Wu Xian¹,Ye Yinyu¹

Affiliation:

1. Management Science and Engineering Stanford University Stanford California USA

2. Electrical and Computer Engineering, Princeton University Princeton New Jersey USA

3. Center for Statistics and Machine Learning, Princeton University Princeton New Jersey USA

Publisher

Wiley

Subject

Management Science and Operations Research,Ocean Engineering,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nav.21992

Reference31 articles.

1. Azar M. G. Munos R. &Kappen B.(2012).On the sample complexity of reinforcement learning with a generative model. arXiv preprint arXiv:1206.6461 .

2. Minimax pac bounds on the sample complexity of reinforcement learning with a generative model;Azar M. G.;Machine Learning,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-08

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