Multi-Agent Reinforcement Learning-Based Decision Making for Twin-Vehicles Cooperative Driving in Stochastic Dynamic Highway Environments.
Siyuan ChenMeiling WangWenjie SongYi YangMengyin FuPublished in: IEEE Trans. Veh. Technol. (2023)
Keyphrases
- multi agent reinforcement learning
- stochastic dynamic
- decision making
- traffic accidents
- cooperative
- traffic safety
- multi agent
- driving simulator
- reinforcement learning
- multi agent systems
- multi agent learning
- learning agents
- distributed control
- decision makers
- traffic flow
- dynamic environments
- complex environments
- stochastic games
- action selection
- incomplete information
- traffic management
- autonomous agents
- evolutionary game theory