2010
DOI: 10.1007/978-3-642-11688-9_18
View full text
|
Sign up to set email alerts
|
Share

Abstract: Abstract Traffic light control is one of the main means of controlling road traffic. Improving traffic control is important because it can lead to higher traffic throughput and reduced congestion. This chapter describes multiagent reinforcement learning techniques for automatic optimization of traffic light controllers. Such techniques are attractive because they can automatically discover efficient control strategies for complex tasks, such as traffic control, for which it is hard or impossible to compute op…

Expand abstract

Search citation statements

Order By: Relevance

Citation Types

0
16
0
1

Paper Sections

0
0
0
0
0

Publication Types

0
0
0
0

Relationship

0
0

Authors

Journals