Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization.
Jesse van RemmerdenMaurice KenterDiederik M. RoijersCharalampos AndriotisYingqian ZhangZaharah BukhshPublished in: CoRR (2024)
Keyphrases
- multi objective
- optimization algorithm
- reinforcement learning
- multiple objectives
- evolutionary algorithm
- evolutionary optimization
- conflicting objectives
- multiobjective optimization
- optimum design
- optimization problems
- multi objective optimization
- engineering design problems
- genetic algorithm
- optimization method
- particle swarm optimization
- objective function
- global optimization
- bi objective
- function approximation
- learning algorithm
- learning process
- optimization process
- nsga ii
- multi objective optimization problems
- model free
- particle swarm
- optimization methods
- machine learning
- decision models
- single objective optimization
- estimation of distribution algorithms
- dynamic programming
- temporal difference
- supervised learning
- software maintenance
- optimal control
- combinatorial optimization