Control of Composite Manufacturing Processes Through Deep Reinforcement Learning

Simon Stieber; Leonard Heber; Christof Obertscheider; Wolfgang Reif

doi:10.1109/ICMLA58977.2023.00011

Control of Composite Manufacturing Processes Through Deep Reinforcement Learning

Simon Stieber, Leonard Heber, Christof Obertscheider, Wolfgang Reif

Fakultät Technik

Augsburg University

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › peer-review

Originalsprache	Englisch
Titel	Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Redakteure/-innen	M. Arif Wani, Mihai Boicu, Moamar Sayed-Mouchaweh, Pedro Henriques Abreu, Joao Gama
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	17-22
Seitenumfang	6
ISBN (elektronisch)	9798350345346
DOIs	https://doi.org/10.1109/ICMLA58977.2023.00011
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 - Jacksonville, USA/Vereinigte Staaten Dauer: 15 Dez. 2023 → 17 Dez. 2023

Publikationsreihe

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

Konferenz

Konferenz	22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Land/Gebiet	USA/Vereinigte Staaten
Ort	Jacksonville
Zeitraum	15/12/23 → 17/12/23

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10.1109/ICMLA58977.2023.00011

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Stieber, S., Heber, L., Obertscheider, C., & Reif, W. (2023). Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. in M. Arif Wani, M. Boicu, M. Sayed-Mouchaweh, P. H. Abreu, & J. Gama (Hrsg.), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 (S. 17-22). (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA58977.2023.00011

Stieber, Simon ; Heber, Leonard ; Obertscheider, Christof et al. / Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Hrsg. / M. Arif Wani ; Mihai Boicu ; Moamar Sayed-Mouchaweh ; Pedro Henriques Abreu ; Joao Gama. Institute of Electrical and Electronics Engineers Inc., 2023. S. 17-22 (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

@inproceedings{25e83bd52b4346efaafec2cda855e09d,

title = "Control of Composite Manufacturing Processes Through Deep Reinforcement Learning",

keywords = "Control, Reinforcement Learning, Resin Transfer Molding",

author = "Simon Stieber and Leonard Heber and Christof Obertscheider and Wolfgang Reif",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 ; Conference date: 15-12-2023 Through 17-12-2023",

year = "2023",

doi = "10.1109/ICMLA58977.2023.00011",

language = "English",

series = "Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "17--22",

editor = "{Arif Wani}, M. and Mihai Boicu and Moamar Sayed-Mouchaweh and Abreu, {Pedro Henriques} and Joao Gama",

booktitle = "Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023",

}

Stieber, S, Heber, L, Obertscheider, C & Reif, W 2023, Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. in M Arif Wani, M Boicu, M Sayed-Mouchaweh, PH Abreu & J Gama (Hrsg.), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, Institute of Electrical and Electronics Engineers Inc., S. 17-22, 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, USA/Vereinigte Staaten, 15/12/23. https://doi.org/10.1109/ICMLA58977.2023.00011

Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. / Stieber, Simon; Heber, Leonard; Obertscheider, Christof et al.
Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Hrsg. / M. Arif Wani; Mihai Boicu; Moamar Sayed-Mouchaweh; Pedro Henriques Abreu; Joao Gama. Institute of Electrical and Electronics Engineers Inc., 2023. S. 17-22 (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › peer-review

TY - GEN

T1 - Control of Composite Manufacturing Processes Through Deep Reinforcement Learning

AU - Stieber, Simon

AU - Heber, Leonard

AU - Obertscheider, Christof

AU - Reif, Wolfgang

PY - 2023

Y1 - 2023

KW - Control

KW - Reinforcement Learning

KW - Resin Transfer Molding

UR - http://www.scopus.com/inward/record.url?scp=85190099662&partnerID=8YFLogxK

U2 - 10.1109/ICMLA58977.2023.00011

DO - 10.1109/ICMLA58977.2023.00011

M3 - Conference contribution

AN - SCOPUS:85190099662

T3 - Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

SP - 17

EP - 22

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

A2 - Arif Wani, M.

A2 - Boicu, Mihai

A2 - Sayed-Mouchaweh, Moamar

A2 - Abreu, Pedro Henriques

A2 - Gama, Joao

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

Y2 - 15 December 2023 through 17 December 2023

ER -

Stieber S, Heber L, Obertscheider C, Reif W. Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. in Arif Wani M, Boicu M, Sayed-Mouchaweh M, Abreu PH, Gama J, Hrsg., Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. S. 17-22. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023). doi: 10.1109/ICMLA58977.2023.00011

Control of Composite Manufacturing Processes Through Deep Reinforcement Learning

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