Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning.
Pablo G. MoratoC. P. AndriotisK. G. PapakonstantinouPhilippe RigoPublished in: Reliab. Eng. Syst. Saf. (2023)
Keyphrases
- bayesian networks
- decision making
- reinforcement learning
- utility theory
- probabilistic reasoning
- state space
- probabilistic inference
- complex systems
- multiply sectioned bayesian networks
- incomplete data
- decision support
- dynamic environments
- bayesian network inference
- inference process
- learning algorithm
- graphical models
- multi agent
- management system
- hidden variables
- expert systems
- probabilistic modeling
- dynamic programming
- exact inference
- complex domains
- probabilistic model
- conditional independence
- approximate inference
- decision makers
- decision process
- probability distribution
- conditional probabilities
- markov decision processes
- fuzzy logic
- neural network
- computer systems
- decision support system