A deep reinforcement learning approach for rail renewal and maintenance planning

Title
A deep reinforcement learning approach for rail renewal and maintenance planning
Authors
Keywords
-
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 225, Issue -, Pages 108615
Publisher
Elsevier BV
Online
2022-05-28
DOI
10.1016/j.ress.2022.108615

Ask authors/readers for more resources

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started