Optimal Inspection and Maintenance Planning for Deteriorating Structures through Dynamic Bayesian Networks and Markov Decision Processes.
Pablo G. MoratoK. G. PapakonstantinouC. P. AndriotisJ. S. NielsenP. RigoPublished in: CoRR (2020)
Keyphrases
- markov decision processes
- dynamic bayesian networks
- dynamic programming
- average cost
- decision theoretic planning
- planning under uncertainty
- average reward
- finite horizon
- optimal policy
- state space
- action sets
- finite state
- reinforcement learning
- partially observable
- policy iteration
- bayesian networks
- particle filtering
- state variables
- partially observable markov decision processes
- optimal solution
- belief state
- planning problems
- stochastic processes
- infinite horizon
- optimal control
- approximate inference
- reward function
- graphical models
- search algorithm
- markov decision problems
- optimal plans
- long run