Resilience-based post disaster recovery optimization for infrastructure system via deep reinforcement learning
Authors:
- Huangbin LiangHLHuangbin Liang
- Beatriz MoyaBMBeatriz Moya
- Francisco ChinestaFCFrancisco Chinesta
- Eleni ChatziEleni Chatzi
Top Cited Papers
Open Access
- 19 July 2025
- journal article
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 265
Abstract
No abstract availableAll Related Versions
Funding Information
- Swiss National Science Foundation (101086413)
- Swiss National Science Foundation (101147225)
- Agence Nationale de la Recherche
- Eidgenössische Technische Hochschule Zürich
- Singapore-ETH Centre for Global Environmental Sustainability
- National Research Foundation of Singapore
This publication has 56 references indexed in Scilit:
- A digital twin framework for efficient electric power restoration and resilient recovery in the aftermath of hurricanes considering the interdependencies with road network and essential facilitiesResilient Cities and Structures, 2024
- POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenanceMachine Learning, 2024
- Dynamic path planning via Dueling Double Deep Q-Network (D3QN) with prioritized experience replayApplied Soft Computing, 2024
- Deep reinforcement learning based collision avoidance system for autonomous shipsOcean Engineering, 2023
- ResQ-IOS: An iterative optimization-based simulation framework for quantifying the resilience of interdependent critical infrastructure systems to natural hazardsApplied Energy, 2023
- Seismic resilience assessment and improvement framework for electrical substationsEarthquake Engineering & Structural Dynamics, 2022
- Seismic risk analysis of electrical substations based on the network analysis methodEarthquake Engineering & Structural Dynamics, 2022
- Large‐scale systems resilience: A survey and unifying frameworkQuality and Reliability Engineering International, 2020
- Critical infrastructure, panarchies and the vulnerability paths of cascading disastersNatural Hazards, 2016
- Optimizing scheduling of post‐earthquake electric power restoration tasksEarthquake Engineering & Structural Dynamics, 2006