A Distributed Control Method for Urban Networks Using Multi-Agent Reinforcement Learning Based on Regional Mixed Strategy Nash-Equilibrium.
Zhaowei QuZhaotian PanYongheng ChenXin WangHaitao LiPublished in: IEEE Access (2020)
Keyphrases
- mixed strategy
- control method
- multi agent reinforcement learning
- nash equilibrium
- evolutionary game theory
- stochastic games
- pure strategy
- multi agent
- game theory
- control algorithm
- control strategy
- cooperative
- adaptive control
- nash equilibria
- distributed control
- game theoretic
- control system
- multi agent systems
- multi agent learning
- reinforcement learning
- agent interactions
- learning agents
- imperfect information
- neural network
- decision problems
- worst case