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A New Reinforcement Learning Algorithm with Fixed Exploration for Semi-Markov Control in Preventive Maintenance
Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference (2017, Los Angeles, CA)
  • Angelo Encapera
  • Abhijit Gosavi, Missouri University of Science and Technology
Abstract

Artificial intelligence techniques can play a significant role in solving problems encountered in the domain of Total Productive Maintenance (TPM). This paper considers a new reinforcement learning algorithm called iSMART, which can solve semi-Markov decision processes underlying control problems related to TPM. The algorithm uses a constant exploration rate, unlike its precursor R-SMART, which required exploration decay. Numerical experiments conducted here show encouraging behavior with the new algorithm.

Meeting Name
ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 (2017: Jun. 4-8, Los Angeles, CA)
Department(s)
Engineering Management and Systems Engineering
Comments
This research was partially funded by a seed grant from the Department of Engineering Management and Systems Engineering at the Missouri University of Science and Technology.
Keywords and Phrases
  • Manufacture,
  • Markov processes,
  • Preventive maintenance,
  • Problem solving,
  • Reinforcement learning,
  • Artificial intelligence techniques,
  • Control problems,
  • Numerical experiments,
  • Semi-Markov controls,
  • Semi-Markov decision process,
  • Total productive maintenance,
  • Learning algorithms
International Standard Book Number (ISBN)
978-0-7918-5074-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
6-1-2017
Publication Date
01 Jun 2017
Citation Information
Angelo Encapera and Abhijit Gosavi. "A New Reinforcement Learning Algorithm with Fixed Exploration for Semi-Markov Control in Preventive Maintenance" Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference (2017, Los Angeles, CA) Vol. 3 (2017)
Available at: http://works.bepress.com/abhijit-gosavi/35/