A deep reinforcement learning approach for rail renewal and maintenance planning.
Reza MohammadiQing HePublished in: Reliab. Eng. Syst. Saf. (2022)
Keyphrases
- reinforcement learning
- action selection
- partially observable
- planning problems
- function approximation
- markov chain
- software maintenance
- mixed initiative
- macro actions
- stochastic domains
- state space
- reinforcement learning problems
- motion planning
- learning algorithm
- deterministic domains
- reinforcement learning algorithms
- dynamic programming
- heuristic search
- high speed
- partially observable domains
- supervised learning
- partial observability
- planning systems
- complex domains
- goal oriented
- decision support
- optimal policy
- temporal difference
- model free
- search algorithm
- real time
- reward shaping
- markov decision processes