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GitHub / DariMe20 / GoGameProject

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DariMe20%2FGoGameProject
PURL: pkg:github/DariMe20/GoGameProject

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 511 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: 11 months ago
Pushed at: 9 months ago
Last synced at: 9 months ago

Topics: agent-based-modeling, cnn-keras, machine-learning, markov-decision-processes, model-training-and-evaluation, reinforcement-learning

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