Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings.
Asma BelhadiYoucef DjenouriGautam SrivastavaJerry Chun-Wei LinPublished in: Comput. Commun. (2021)
Keyphrases
- reinforcement learning
- fault diagnosis
- multi agent systems
- fault detection
- model based diagnosis
- industrial processes
- multiple faults
- multi agent
- industrial systems
- gas turbine
- fault detection and diagnosis
- fault diagnostic
- fault model
- cooperative
- multi agent reinforcement learning
- fault detection and isolation
- industrial applications
- fault identification
- function approximation
- fault models
- root cause
- single agent
- model based reasoning
- multi agent environments
- multiagent systems
- autonomous agents
- industrial automation
- model free
- fault isolation
- fault localization
- intelligent agents
- agent systems
- state space
- distributed multi agent systems
- neural network
- machine learning
- agent technology
- dynamic programming
- trust model
- transfer learning
- software agents
- learning algorithm
- expert systems
- medical diagnosis
- agent architecture
- reinforcement learning algorithms
- learning capabilities
- discrete event
- optimal control
- learning agent
- normal operation
- optimal policy
- fuzzy logic
- abnormal events
- control system