Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

1 code implementation • 11 Mar 2019 • Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li

Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, and deep neural networks further enhance its learning power.

Q-Learning reinforcement-learning +1