Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning.
Pablo G. MoratoCharalampos P. AndriotisKonstantinos G. PapakonstantinouPhilippe RigoPublished in: CoRR (2022)
Keyphrases
- bayesian networks
- decision making
- reinforcement learning
- inference in bayesian networks
- utility theory
- dynamic environments
- decision makers
- expert systems
- machine learning
- probabilistic modeling
- changing environment
- probabilistic inference
- decision support system
- distributed systems
- management system
- state space
- decision support
- computer systems
- conditional probabilities
- fuzzy logic
- probabilistic reasoning
- decision theoretic
- junction tree
- probability distribution
- multi agent