Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization-Reference-Cited by-同舟云学术

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Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization

Published:2020-12 Issue: Volume:124 Page:105032
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Chen Ying,Liu Feng^ORCID,Rosenberger Jay M.^ORCID,Chen Victoria C.P.,Kulvanitchaiyanunt Asama,Zhou Yuan

Funder

National Natural Science Foundation of China

National Science Foundation

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference43 articles.

1. Dynamic Programming;Bellman,1957

2. Neuro-dynamic Programming;Bertsekas,1996

3. Introduction to Stochastic Programming;Birge,1997

4. Dynamic programming and optimal control;Bertsekas,2017

5. A novel approach for sampling in approximate dynamic programming based on F-discrepancy;Cervellera;IEEE Transactions on Cybernetics,2017

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