Skip to main navigation Skip to search Skip to main content

Control of Composite Manufacturing Processes Through Deep Reinforcement Learning

  • Augsburg University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Original languageEnglish
Title of host publicationProceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
EditorsM. Arif Wani, Mihai Boicu, Moamar Sayed-Mouchaweh, Pedro Henriques Abreu, Joao Gama
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages17-22
Number of pages6
ISBN (Electronic)9798350345346
DOIs
Publication statusPublished - 19 Dec 2023
Event22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 - Jacksonville, United States
Duration: 15 Dec 202317 Dec 2023

Publication series

NameProceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

Conference

Conference22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Country/TerritoryUnited States
CityJacksonville
Period15/12/2317/12/23

Keywords

  • Control
  • Reinforcement Learning
  • Resin Transfer Molding

Fingerprint

Dive into the research topics of 'Control of Composite Manufacturing Processes Through Deep Reinforcement Learning'. Together they form a unique fingerprint.

Cite this