Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning.
Giulio BacchianiDaniele MolinariMarco PatanderPublished in: AAMAS (2019)
Keyphrases
- reinforcement learning
- cooperative multi agent
- traffic signal control
- real time
- real robot
- machine learning
- molecular dynamics simulations
- learning algorithm
- multi agent
- image analysis
- optimal policy
- mathematical model
- road network
- function approximation
- learning process
- simulation environment
- simulation models
- action selection
- traffic network
- traffic light
- reinforcement learning algorithms
- state space
- simulation model
- network traffic
- programming language
- general purpose
- supervised learning