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agent-based-modeling

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Go AI Reinforcement Learning Project - This repository is dedicated to exploring and comparing two reinforcement learning methods—gradient descent and Q-value learning—in developing intelligent agents for the board game Go. The goal is to observe the model’s evolution after generating thousands of self-played games and compare agents’ results.

  • Updated Oct 25, 2024
  • Python

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