Difference between revisions of "Google DeepMind AlphaGo Zero"
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* [http://arxiv.org/pdf/1712.01815.pdf Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | Google DeepMind ] 5 Dec 2017 | * [http://arxiv.org/pdf/1712.01815.pdf Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | Google DeepMind ] 5 Dec 2017 | ||
| − | + | A pure Python implementation of a neural-network based Go AI, using TensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is not a DeepMind project nor is it affiliated with the official AlphaGo project. | |
<youtube>LRqlmjL3-n8</youtube> | <youtube>LRqlmjL3-n8</youtube> | ||
Revision as of 21:08, 18 July 2018
Monte Carlo Tree Search
MiniGo
- MiniGo - TensorFlow | GitHub
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | Google DeepMind 5 Dec 2017
A pure Python implementation of a neural-network based Go AI, using TensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is not a DeepMind project nor is it affiliated with the official AlphaGo project.
