Multi-agent behavioral control system using deep reinforcement learning.
Ngoc Duy NguyenThanh NguyenSaeid NahavandiPublished in: Neurocomputing (2019)
Keyphrases
- reinforcement learning
- control system
- multi agent
- agent behavior
- traffic signal control
- function approximation
- fuzzy logic
- control algorithm
- multi agent systems
- multi agent environments
- learning algorithm
- reinforcement learning agents
- cooperative
- state space
- control method
- control law
- model free
- closed loop
- temporal difference
- intelligent control
- reinforcement learning algorithms
- learning agents
- multi agent reinforcement learning
- single agent
- machine learning
- multiagent systems
- control strategy
- markov decision processes
- control scheme
- optimal control
- real time
- markov decision process
- real robot
- pid controller
- fuzzy control
- learning process
- behavioral model
- genetic algorithm
- deep learning
- heterogeneous agents
- dynamic programming
- supervised learning
- intelligent agents
- cognitive agents
- behavioral patterns
- function approximators
- transfer learning
- software agents
- coalition formation
- fuzzy controller