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Enhancing Urban Resilience with Deep Reinforcement Learning: A Proactive Model for Infrastructure Hardening under Uncertain Extreme Weather Risks

  • Mohamad Dehghan-Bonari
  • , Randy Buchanan
  • , Susan Wolters
  • , John Richards
  • , Mohammad Marufuzzaman
  • Mississippi State University
  • U.S. Army Engineer Research and Development Center

Research output: Contribution to conferencePaperpeer-review

Original languageEnglish
Pages1661-1666
Number of pages6
DOIs
StatePublished - 2025
Externally publishedYes
EventIISE Annual Conference and Expo 2025 - Atlanta, United States
Duration: May 31 2025Jun 3 2025

Conference

ConferenceIISE Annual Conference and Expo 2025
Country/TerritoryUnited States
CityAtlanta
Period5/31/256/3/25

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Keywords

  • deep reinforcement learning
  • hurricane risks
  • Mathematical modeling
  • urban infrastructure

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