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GitHub / rkc007 / AlphaGo-Zero-Implementation-Using-Reinforcement-Learning

This is my implementation of the DeepMind's AlphaZero algorithm for the Game of Go

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rkc007%2FAlphaGo-Zero-Implementation-Using-Reinforcement-Learning

Stars: 7
Forks: 2
Open issues: 6

License: None
Language: Python
Size: 50.8 KB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: 12 months ago
Pushed at: over 2 years ago
Last synced at: 16 days ago

Topics: alphago, deepmind, deepmind-alphazero-algorithm, game, mcts, monte-carlo-tree-search, reinforcement-learning, reinforcement-learning-agent

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