Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems

arXiv:2604.23068 · eess.SY, cs.CE, cs.NA, cs.SY, math.NA · Submitted 2026-04-24 · Read on arXiv

eess.SY, cs.CE, cs.NA, cs.SY, math.NA

Submitted: 2026-04-24

Updated: 2026-09-17

Terminology

• Curse of Dimensionality — 11× in this paper · explained in 6 episodes
• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Action Space — 7× in this paper · explained in 1 episode
• Dynamic Bayesian Network — 7× in this paper
• Performance-Based Earthquake Engineering — 7× in this paper
• Deep Reinforcement Learning — 5× in this paper · explained in 2 episodes
• Markov Decision Process — 5× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Pacific Earthquake Engineering Research — 3× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Federal Emergency Management Agency — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Markov Decision Process (MDP) — 2× in this paper · explained in 11 episodes
• Probabilistic Seismic Hazard Analysis — 2× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• Definitions of the Condition-Based Maintenance — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• SDS Seismic Damage States — 1× in this paper
• United States Geological Survey — 1× in this paper

Sources

• Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
• Introduction to Tensor Decompositions and their Applications in Machine Learning

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