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Simulating multi-agent turn-based board games using reinforcement learning via Value-Decomposition Network and Gymnasium API.

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Simulando jogos de tabuleiro multiagente por turnos usando aprendizado por reforço via Value-Decomposition Network e Gymnasium API

Google Colab

  • Autor: Jorge Feldmann
  • Trabalho final apresentado ao Departamento de Ciências de Computação do Instituto de Ciências Matemáticas e de Computação da Universidade de São Paulo – ICMC/USP, como parte dos requisitos para obtenção do título de Especialista em Inteligência Artificial e Big Data.
  • Foco: Inteligência Artificial
  • Orientador: Prof. Dr. Fernando Santos Osório

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Este repositório contém o trabalho mencionado e todo o material utilizado.


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Simulating multi-agent turn-based board games using reinforcement learning via Value-Decomposition Network and Gymnasium API

Google Colab

  • Author: Jorge Feldmann
  • The final paper presented to the Department of Computer Sciences of the Institute of Mathematical and Computer Sciences, University of São Paulo - ICMC/USP, as part of the requirements to obtain the title of Specialist in Artificial Intelligence and Big Data.
  • Focus: Artificial Intelligence
  • Advisor: Prof. Dr. Fernando Santos Osório
  • Language: Brazilian Portuguese

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This repository contains the mentioned work and all the material used.

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Simulating multi-agent turn-based board games using reinforcement learning via Value-Decomposition Network and Gymnasium API.

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