Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner

Author:

Kim GyeongjunORCID,Sohn Keemin

Funder

Korea Agency for Infrastructure Technology Advancement

Ministry of Land, Infrastructure and Transport

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Software

Reference45 articles.

1. Multi-agent reinforcement learning: An overview;Buşoniu,2010

2. Reinforcement learning for joint control of traffic signals in a transportation network;Lee;IEEE Trans. Veh. Technol.,2019

3. STMARL: A Spatio-temporal multi-agent reinforcement learning approach for traffic light control;Wang,2020

4. Traffic signal control based on reinforcement learning with graph convolutional neural nets;Nishi,2018

5. Asynchronous methods for deep reinforcement learning;Mnih,2016

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