Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach.
Iordanis TseremoglouBruno Filipe SantosPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- partial observability
- reinforcement learning
- partially observable
- crew scheduling
- symbolic model checking
- markov decision process
- fully observable
- state space
- belief state
- markov decision processes
- planning problems
- integer programming
- belief space
- sufficient conditions
- function approximation
- reinforcement learning algorithms
- learning agent
- optimal policy
- learning algorithm
- partially observable markov decision processes
- multi agent
- knowledge based systems
- learning process
- planning under partial observability
- partial information
- model free
- dynamic programming