Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation.
Lucas Nunes AlegreTheresa ZiemkeAna L. C. BazzanPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- function approximation
- reinforcement learning
- traffic signal
- control policy
- temporal difference learning algorithms
- function approximators
- traffic signal control
- temporal difference learning
- temporal difference
- control system
- model free
- reinforcement learning algorithms
- radial basis function
- control strategies
- traffic control
- optimal control
- learning algorithm
- control method
- learning tasks
- action selection
- dynamic programming
- data mining
- markov decision processes
- multi agent
- machine learning
- reinforcement learning problems
- actor critic
- multi agent systems
- traffic management
- artificial neural networks
- robot control
- process control
- traffic flow