Safeguarded optimal policy learning for a smart discrete manufacturing plant

Autor: Roberto Boffadossi, Fabio Bonassi, Lorenzo Fagiano, Riccardo Scattolini, Andrea Cataldo

Publikováno v: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), pp. 396–401, Tel Aviv, Israel, 28-30 March 2022
info:cnr-pdr/source/autori:R. Boffadossi, F. Bonassi, L. Fagiano, R. Scattolini, A. Cataldo/congresso_nome:14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022)/congresso_luogo:Tel Aviv, Israel/congresso_data:28-30 March 2022/anno:2022/pagina_da:396/pagina_a:401/intervallo_pagine:396–401

An approach to safely learn and deploy, at fast rate, a given optimization based controller for the routing problem in smart manufacturing is presented. The considered application features a large number of integer decision variables, combined with n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e4ce3c5a9738a7578c061dfa19057c7
https://hdl.handle.net/11311/1231883