Coordination for Connected and Automated Vehicles at Non-Signalized Intersections: A Value Decomposition-Based Multiagent Deep Reinforcement Learning Approach.
Zihan GuoYan WuLifang WangJunzhi ZhangPublished in: IEEE Trans. Veh. Technol. (2023)
Keyphrases
- multi agent
- reinforcement learning
- traffic light
- multiagent learning
- traffic signal
- multiagent systems
- multi agent reinforcement learning
- multi agent systems
- traffic flow
- multiple agents
- cooperative
- agent communication
- intelligent agents
- traffic control
- learning agents
- single agent
- cooperative multi agent systems
- multi agent coordination
- semi automated
- state space
- function approximation
- heterogeneous agents
- autonomous agents
- markov decision processes
- model free
- partially observable
- control policy
- travel time
- vehicle detection
- real time
- multiagent reinforcement learning
- reinforcement learning algorithms
- traffic management
- traffic congestion
- connected components
- urban traffic
- decomposition method
- open environments
- robocup soccer
- action selection