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

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  • 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

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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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