Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles.
Omar NassefLuis SequeiraElias SalamToktam MahmoodiPublished in: PIMRC (2020)
Keyphrases
- reinforcement learning
- traffic flow
- multi agent reinforcement learning
- traffic signal
- traffic light
- multi agent
- cooperative multi agent systems
- function approximation
- multi agent systems
- traffic control
- cooperative
- road traffic
- urban traffic
- travel time
- model free
- vehicle tracking
- state space
- learning process
- multiagent learning
- temporal difference
- intelligent transportation systems
- traffic congestion
- machine learning
- real time
- detection algorithm
- optimal policy
- connected components
- traffic scenes
- learning algorithm
- dynamic programming
- mobile robot
- traffic data
- autonomous vehicles
- cellular automata
- multiagent systems
- optimal control
- markov decision processes
- traffic management
- control policy
- function approximators
- deep learning
- multiple agents
- hough transform
- lane detection
- policy search
- multiagent reinforcement learning