Multi-agent deep reinforcement learning for resilience optimization of building structures considering utility interactions for functionality-Reference-Cited by-同舟云学术

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Multi-agent deep reinforcement learning for resilience optimization of building structures considering utility interactions for functionality

Published:2025-04 Issue: Volume:310 Page:107703
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Anwar Ghazanfar Ali^ORCID,Akber Muhammad Zeshan

Publisher

Elsevier BV

Reference61 articles.

1. The future of risk assessment;Zio;Reliab Eng Syst Saf,2018

2. A multi-stage quantitative resilience analysis and optimization framework considering dynamic decisions for urban infrastructure systems;Wang;Reliab Eng Syst Saf,2024

3. Enhancing seismic performance of steel buildings having semi-rigid connection with infill masonry walls considering soil type effects;Kazemi;Soil Dyn Earthq Eng,2024

4. State of the research in community resilience: Progress and challenges;Koliou;Sustainable and resilient infrastructure,2020

5. Performance-based decision-making of buildings under seismic hazard considering long-term loss, sustainability, and resilience;Anwar;Struct Infrastruct Eng,2020

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