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Deep reinforcement learning for approximate policy iteration: convergence analysis and a post-earthquake disaster response case study.

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Bibliographic Details
Title: Deep reinforcement learning for approximate policy iteration: convergence analysis and a post-earthquake disaster response case study.
Authors: Gosavi, A.1 (AUTHOR) gosavia@mst.edu, Sneed, L. H.2 (AUTHOR), Spearing, L. A.3 (AUTHOR)
Source: Optimization Letters. Dec2024, Vol. 18 Issue 9, p2033-2050. 18p.
Database: Mathematics Source
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Description
ISSN:18624472
DOI:10.1007/s11590-023-02062-0