Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law.
Jian HouFangyuan WangLili WangZhiyong ChenPublished in: AAAI (2021)
Keyphrases
- reinforcement learning
- multi agent
- neural network
- control problems
- optimal control
- robot control
- control policy
- function approximation
- cooperative
- fault diagnosis
- function approximators
- adaptive control
- single agent
- fuzzy systems
- state space
- pattern recognition
- learning algorithm
- control strategy
- neural nets
- intelligent agents
- control method
- artificial neural networks
- control strategies
- reinforcement learning algorithms
- temporal difference
- machine learning
- multi agent reinforcement learning
- learning classifier systems
- back propagation
- fuzzy logic
- action selection
- model free
- multiple agents
- legal reasoning
- self organizing maps
- adaptive fuzzy
- traffic signal control