Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion.
Paul Young Joun HaSikai ChenJiqian DongRunjia DuYujie LiSamuel LabiPublished in: CoRR (2020)
Keyphrases
- multi agent reinforcement learning
- autonomous vehicles
- path planning
- structured environments
- multi agent
- multiagent systems
- obstacle avoidance
- learning agents
- multi agent systems
- multi agent learning
- autonomous agents
- reinforcement learning
- robot control
- travel time
- stochastic games
- mobile robot
- real time
- incomplete information
- cooperative