Approximate Policy Iteration for Markov Decision Processes via Quantitative Adaptive Aggregations-Reference-Cited by-同舟云学术

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Approximate Policy Iteration for Markov Decision Processes via Quantitative Adaptive Aggregations

Published:2016 Issue: Volume: Page:13-31
ISSN:0302-9743
Container-title:Automated Technology for Verification and Analysis
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Author:

Abate Alessandro,Češka Milan,Kwiatkowska Marta

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-46520-3_2

Reference16 articles.

1. Lecture Notes in Computer Science;A Abate,2015

2. Abate, A., D’Innocenzo, A., Benedetto, M.D.: Approximate abstractions of stochastic hybrid systems. IEEE Trans. Autom. Control 56(11), 2688–2694 (2011)

3. Bertsekas, D.: Dynamic Programming and Optimal Control, vol. I. Athena Scientific, Belmont (1995)

4. Bertsekas, D.: Approximate policy iteration: a survey and some new methods. J. Control Theor. Appl. 9(3), 310–335 (2011)

5. Bertsekas, D.: Dynamic Programming and Optimal Control, Vol. II: Approximate Dynamic Programming. Athena Scientific, Belmont (2012)

Cited by 2 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. Efficient Strategy Iteration for Mean Payoff in Markov Decision Processes;Automated Technology for Verification and Analysis;2017

2. Bounded Aggregation for Continuous Time Markov Decision Processes;Computer Performance Engineering;2017

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