Multiagent Reinforcement Learning Applied to Traffic Light Signal Control

Carolina Higuera; Fernando Lozano; Edgar C. Camacho; Carlos Hernando Higuera Sandoval

doi:10.1007/978-3-030-24209-1_10

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Multiagent Reinforcement Learning Applied to Traffic Light Signal Control

Carolina Higuera Fernando Lozano Edgar C. Camacho Carlos Hernando Higuera Sandoval

Year: 2019 Lecture notes in computer science Pages: 115-126 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-24209-1_10

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Keywords:

Reinforcement learning Computer science Queue Queueing theory Exploit Locality Graph Function (biology) Artificial intelligence Computer network Theoretical computer science Computer security

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Cited By

1.33

FWCI (Field Weighted Citation Impact)

Refs

0.78

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic and Road Safety

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Multiagent Reinforcement Learning Applied to Traffic Light Signal Control

Metrics

Citation History

Topics

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