Heat Conduction Control Using Deep Q-Learning Approach With Physics-Informed Neural Networks

AuthID
 P-015-P1Q
2
Author(s)
de Sá Rodrigues, S
Tipo de Documento
Proceedings Paper
Year published
2024
Publicado
in World Congress in Computational Mechanics and ECCOMAS Congress, ISSN: 2696-6999
Conference
9Th European Congress on Computational Methods in Applied Sciences and Engineering, Eccomas 2024, Location: Lisbon
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Publication Identifiers
SCOPUS: 2-s2.0-105012423325
Source Identifiers
ISSN: 2696-6999
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