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    Development of a Pedagogical Graphical Interface for the Reinforcement Learning


    Carvalho Ottoni, Andre Luiz, Nepomuceno, Erivelton and Santos de Oliveira, Marcos (2020) Development of a Pedagogical Graphical Interface for the Reinforcement Learning. IEEE Latin America Transactions, 18 (01). pp. 92-101. ISSN 1548-0992

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    Abstract

    In this paper the development of a pedagogical graphical interface for the Reinforcement Learning is presented. The proposed framework aims to help students from simulations of traditional domains in literature: Travelling Salesman Problem, Multidimensional Knapsack Problem and Autonomous Navigation. The modules developed in MATLAB are described and case studies are exemplified in the text.
    Item Type: Article
    Keywords: Reinforcement learning; Graphical interface; Travelling salesman problem; Multidimensional knapsack problem; Autonomous navigation; Artificial intelligence;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16724
    Identification Number: 10.1109/TLA.2020.9049466
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 21 Nov 2022 15:31
    Journal or Publication Title: IEEE Latin America Transactions
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/16724
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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