Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning.
Salah BouktifAbderraouf ChenikiAli OuniPublished in: Sensors (2021)
Keyphrases
- action space
- reinforcement learning
- traffic signal control
- state space
- markov decision processes
- state and action spaces
- continuous state
- real valued
- reinforcement learning methods
- continuous state spaces
- action selection
- reinforcement learning algorithms
- stochastic processes
- function approximation
- state action
- markov decision problems
- markov decision process
- machine learning
- learning algorithm
- function approximators
- multi agent
- single agent
- optimal control
- optimal policy
- traffic congestion
- search algorithm