{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:59:24Z","timestamp":1786978764497,"version":"3.56.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030645793","type":"print"},{"value":"9783030645809","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-64580-9_6","type":"book-chapter","created":{"date-parts":[[2021,1,6]],"date-time":"2021-01-06T13:17:02Z","timestamp":1609939022000},"page":"65-77","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Learning Controllers for Adaptive Spreading of Carbon Fiber Tows"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4577-3536","authenticated-orcid":false,"given":"Julia","family":"Kr\u00fctzmann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5283-5304","authenticated-orcid":false,"given":"Alexander","family":"Schiendorfer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergej","family":"Beratz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judith","family":"Moosburger-Will","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4086-0043","authenticated-orcid":false,"given":"Wolfgang","family":"Reif","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siegfried","family":"Horn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,7]]},"reference":[{"key":"6_CR1","unstructured":"Appel, L., Kerber, A., Abbas, B., Jeschke, S., Gries, T.: Determination of interactions between bar spreading process parameters and spreading quality for the development of an automated quality control of spread high modulus fiber tows. In: Proceeding of the 17th European Conference on Composite Materials, ECCM 2016, 17, pp. 26\u201330 (2016)"},{"key":"6_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random Forests. Machine Learning 45, 5\u201332 (2001). https:\/\/doi.org\/10.1023\/A:1010933404324","journal-title":"Machine Learning"},{"issue":"1","key":"6_CR3","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s12065-007-0002-4","volume":"1","author":"D Floreano","year":"2008","unstructured":"Floreano, D., D\u00fcrr, P., Mattiussi, C.: Neuroevolution: from architectures to learning. Evol. Intel. 1(1), 47\u201362 (2008). https:\/\/doi.org\/10.1007\/s12065-007-0002-4","journal-title":"Evol. Intel."},{"key":"6_CR4","unstructured":"Gizik, D., Metzner, C., Weimer, C., Middendorf, P.: Spreading of heavy tow carbon fibers for the use in aircraft structures. In: Proceeding of the 17th European Conference on Composite Materials, ECCM 2016, 17 (2016)"},{"key":"6_CR5","unstructured":"MacKenzie, H.D.J. et al.: On the Road toward 2050: Report Massachusetts Institute of Technology Potential for Substantial Reductions in Light-Duty Vehicle Energy Use and Greenhouse Gas Emissions. Massachusetts Institute of Technology (2015). https:\/\/energy.mit.edu\/publication\/on-the-road-toward-2050\/"},{"issue":"3","key":"6_CR6","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1177\/0021998311424624","volume":"46","author":"MS Irfan","year":"2012","unstructured":"Irfan, M.S., et al.: Lateral spreading of a fiber bundle via mechanical means. J. Compos. Mater. 46(3), 311\u2013330 (2012)","journal-title":"J. Compos. Mater."},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Mandel, T., Liu, Y.E., Brunskill, E., Popov\u00edc, Z.: Offline evaluation of online reinforcement learning algorithms. In: 30th AAAI Conference on Artificial Intelligence, AAAI 2016, pp. 1926\u20131933 (2016)","DOI":"10.1609\/aaai.v30i1.10312"},{"issue":"10","key":"6_CR8","doi-asserted-by":"publisher","first-page":"2029","DOI":"10.1016\/S0266-3538(00)00122-6","volume":"60","author":"R Marissen","year":"2000","unstructured":"Marissen, R., van der Drift, L.T., Sterk, J.: Technology for rapid impregnation of fibre bundles with a molten thermoplastic polymer. Compos. Sci. Technol. 60(10), 2029\u20132034 (2000)","journal-title":"Compos. Sci. Technol."},{"key":"6_CR9","doi-asserted-by":"publisher","DOI":"10.1201\/9781420028744","volume-title":"Carbon Fibers and Their Composites","author":"P Morgan","year":"2005","unstructured":"Morgan, P.: Carbon Fibers and Their Composites. CRC Press, Boca Raton (2005)"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Nagabandi, A., Kahn, G., Fearing, R.S., Levine, S.: Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 7559\u20137566 (2018)","DOI":"10.1109\/ICRA.2018.8463189"},{"issue":"2","key":"6_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1088\/0954-0083\/11\/2\/004","volume":"11","author":"JA Newell","year":"1999","unstructured":"Newell, J.A., Puzianowski, A.A.: Development of a pneumatic spreading system for kevlar-based sic-precursor carbon fibre tows. High Perform. Polym. 11(2), 197\u2013203 (1999)","journal-title":"High Perform. Polym."},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Peng, X.B., Andrychowicz, M., Zaremba, W., Abbeel, P.: Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 3803\u20133810 (October 2018)","DOI":"10.1109\/ICRA.2018.8460528"},{"issue":"8","key":"6_CR13","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1021\/ac60214a047","volume":"36","author":"A Savitzky","year":"1964","unstructured":"Savitzky, A., Golay, M.J.E.: Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36(8), 1627\u20131639 (1964)","journal-title":"Anal. Chem."},{"key":"6_CR14","unstructured":"Such, F.P., Madhavan, V., Conti, E., Lehman, J., Stanley, K.O., Clune, J.: Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning (2017). http:\/\/arxiv.org\/abs\/1712.06567"},{"issue":"4","key":"6_CR15","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1145\/122344.122377","volume":"2","author":"RS Sutton","year":"1991","unstructured":"Sutton, R.S.: Dyna, an integrated architecture for learning, planning, and reacting. ACM SIGART Bull. 2(4), 160\u2013163 (1991)","journal-title":"ACM SIGART Bull."},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Thomas, P.S., Theocharous, G., Ghavamzadeh, M.: High confidence off-policy evaluation. In: Proceedings of the National Conference on Artificial Intelligence 4, 3000\u20133006 (2015)","DOI":"10.1609\/aaai.v29i1.9541"}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-64580-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T15:06:52Z","timestamp":1670684812000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-64580-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030645793","9783030645809"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-64580-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"7 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LOD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Optimization, and Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Siena","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mod2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lod2020.icas.xyz\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"in-house system and easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"209","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"116","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5-6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1-2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}