prikaz prve stranice dokumenta Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju
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master's thesis
Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju
2021. urn:nbn:hr:168:690233
Komljenović, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Komljenović, F. (2021). Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:690233

Komljenović, Filip. "Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:690233

Komljenović, Filip. "Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:690233

Komljenović, F. (2021). 'Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:690233

Komljenović F. Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:690233

F. Komljenović, "Upravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:690233

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Metadata
TitleUpravljanje lancem opskrbe višeagentskim sustavom zasnovanim na podržanom učenju
Title (english)Controlling the supply chain network with a multiagent reinforcement learning-based system
AuthorFilip Komljenović
MentorMario Brčić (mentor)
Committee memberMario Brčić (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je napraviti simulaciju lanca opskrbe pivomi računalne agente koji minimiziraju vlastite troškove unutar tog lanca. Opisana je problematika lanca opskrbe, duboko podržanoučenjei korištenialgoritam.Objašnjena je i implementacija programskog rješenja za zadani problem. Nakon provedenog učenja agenata, opisani su dobiveni rezultatii njihova prednost nad drugim postojećim rješenjima.
Abstract (english)
The goal of this paper is to make a simulation of a beer supply chain and a computer agentsthat minimize its own cost within that chain. Supply chain issues, deepreinforcementlearning and theusedalgorithmare described. The implementation of the software solution for the given problem is also explained. After the proven learning of the agents, the obtained results and their advantage over other existing solutions are described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:690233
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 15:19:23