Development of a Pedagogical Graphical Interface for the Reinforcement Learning

Authors

  • André Luiz Carvalho Ottoni UFRB
  • Erivelton Geraldo Nepomuceno
  • Marcos Santos de Oliveira

Keywords:

Reinforcement learning, graphical interface, travelling salesman problem, multidimensional knapsack problem, autonomous navigation, artificial intelligence

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.

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Author Biographies

André Luiz Carvalho Ottoni, UFRB

Possui graduação (2015) e mestrado (2016) em Engenharia Elétrica pela Universidade Federal de São João del-Rei (UFSJ). Além disso, possui formação técnica em Planejamento e Gestão em Tecnologia da Informação pelo CEFET-MG. Atualmente é professor Assistente no Centro de Ciências Exatas e Tecnológicas (CETEC) da Universidade Federal do Recôncavo da Bahia (UFRB). É pesquisador no Grupo de Controle e Modelagem (GCOM) da UFSJ e membro da Sociedade Brasileira de Automática (SBA). Tópicos de pesquisa: Inteligência Artificial, Aprendizado por Reforço, Sistemas Inteligentes, Otimização Combinatória e Robótica Inteligente.

Erivelton Geraldo Nepomuceno

Received the BSc degree from UFSJ and the PhD in Electrical Engineering from the UFMG (Brazil). From 2013 to 2014 he was a Post-doctoral Research Fellow at Intelligent Systems and Networks Group, Imperial College London. He is currently Associate Professor at UFSJ and leader of Control and Modelling Group (GCOM). His research interests include chaos, complex systems, computer arithmetic, interval arithmetic, system identification. He is Associate Editor of the IEEE Latin America Transactions and Journal of Biomedical Research and Reviews. He is member of Brazilian Association of Automatica and IEEE Circuit and Systems Society (IEEE CAS). Since 2018, he has been appointed as member of the Technical Committee on Nonlinear Circuits and Systems (TC-NCAS) of the IEEE CAS Society. He serves as reviewer for around 20 journals, and he has been awarded as Outstanding reviewer by the journal Chaos, Solitons and Fractals.

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Published

2020-03-03

How to Cite

Ottoni, A. L. C., Nepomuceno, E. G., & Oliveira, M. S. de. (2020). Development of a Pedagogical Graphical Interface for the Reinforcement Learning. IEEE Latin America Transactions, 18(1), 92–101. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/299

Issue

Vol. 18 No. 1 (2020): Ordinary Issue

Section

Articles

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