A predictive Markov decision process for optimizing inspection and maintenance strategies of partially observable multi-state systems.
Chunhui GuoZhenglin LiangPublished in: Reliab. Eng. Syst. Saf. (2022)
Keyphrases
- partially observable
- markov decision process
- state space
- markov decision processes
- partial observability
- infinite horizon
- reinforcement learning
- reward function
- optimal policy
- heuristic search
- markov decision problems
- dynamic programming
- partial observations
- action space
- state variables
- decision problems
- belief state
- dynamic systems
- transition probabilities
- dynamical systems
- orders of magnitude
- random walk
- optimal solution