Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment.
Rami AmmourahAlireza TalebpourPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- real time
- function approximation
- driving behavior
- dynamic programming
- markov decision processes
- reinforcement learning algorithms
- dynamic environments
- learning algorithm
- optimal policy
- cellular automata
- autonomous agents
- phase transition
- mobile robot
- traffic flow
- model free
- action selection
- learning process
- real robot
- autonomous vehicles