A Context-Conditioned Reinforcement Learning Framework for Space Frame Structure Optimization

With the rapid advancement of artificial intelligence in recent years, its adoption in structural design has been increasing. However, supervised learning in engineering design is often limited by the availability and quality of labeled data. To address this issue, this study proposes a context-cond...

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Detalhes bibliográficos

Principais autores:	Yinbin Li, Congzhen Xiao, Feng Fan, Xudong Zhi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Buildings
Assuntos:	context-conditioned reinforcement learning space frame structures automated structural optimization Soft Actor–Critic algorithm
Acesso em linha:	https://www.mdpi.com/2075-5309/16/12/2321
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