Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm.
Guo-Xing WenC. L. Philip ChenJun FengNing ZhouPublished in: IEEE Trans. Fuzzy Syst. (2018)
Keyphrases
- formation control
- leader follower
- actor critic
- multi agent
- team formation
- reinforcement learning
- multi robot
- multi robot systems
- approximate dynamic programming
- optimal control
- policy gradient
- neuro fuzzy
- mobile robot
- collision avoidance
- temporal difference
- gradient method
- policy iteration
- function approximation
- learning algorithm
- multi agent systems
- average reward
- partially observable markov decision processes
- optimal policy
- reinforcement learning algorithms
- dynamical systems
- control system
- state space