Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic Controller.
Thamilselvam BSubrahmanyam KalyanasundaramM. V. Panduranga RaoPublished in: AIAI (1) (2023)
Keyphrases
- multi agent
- reinforcement learning
- traffic signal
- cooperative
- real time
- traffic signal control
- multi agent systems
- optimal control
- traffic flow
- traffic control
- network traffic
- intelligent agents
- multiagent systems
- single agent
- learning capabilities
- continuous state and action spaces
- control system
- multi agent reinforcement learning
- neural network
- function approximation
- dynamic programming
- control method
- state space
- multiple agents
- traffic light
- control strategy
- intelligent systems
- traffic conditions
- traffic data
- model free
- autonomous agents
- intelligent control
- markov decision processes
- traffic congestion
- adaptive control
- control policy
- traffic management
- reinforcement learning methods
- pid controller
- peer to peer
- closed loop
- control algorithm
- machine learning