Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles.
Omar NassefLuis SequeiraElias SalamToktam MahmoodiPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- traffic flow
- multi agent reinforcement learning
- traffic signal
- traffic light
- cooperative multi agent systems
- multi agent
- road traffic
- moving vehicles
- lane detection
- autonomous vehicles
- urban traffic
- function approximation
- real time
- traffic control
- cooperative
- travel time
- traffic congestion
- machine learning
- vehicle detection
- reinforcement learning algorithms
- optimal policy
- temporal difference
- policy search
- multiagent systems
- intelligent transportation systems
- connected components
- traffic data
- deep learning
- multi agent systems
- multiple agents
- robotic control
- multiagent reinforcement learning
- vehicle tracking
- model free
- multiagent learning
- traffic accidents
- state space
- dynamic programming
- traffic scenes
- road segments
- distributed agents
- learning process
- sensory motor
- supervised learning
- function approximators
- information sharing
- stochastic games
- control policy