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                                       Details for article 7 of 16 found articles
 
 
  Deep reinforcement learning for approximate policy iteration: convergence analysis and a post-earthquake disaster response case study
 
 
Title: Deep reinforcement learning for approximate policy iteration: convergence analysis and a post-earthquake disaster response case study
Author: Gosavi, A.
Sneed, L. H.
Spearing, L. A.
Appeared in: Optimization letters
Paging: Volume 18 () nr. 9 pages 2033-2050
Year: 2023-09-23
Contents:
Publisher: Springer Berlin Heidelberg, Berlin/Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 7 of 16 found articles
 
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