Difference between revisions of "Google DeepMind AlphaGo Zero"
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* [http://www.nature.com/articles/nature24270.epdf?author_access_token=VJXbVjaSHxFoctQQ4p2k4tRgN0jAjWel9jnR3ZoTv0PVW4gB86EEpGqTRDtpIz-2rmo8-KG06gqVobU5NSCFeHILHcVFUeMsbvwS-lxjqQGg98faovwjxeTUgZAUMnRQ Mastering the game of Go without human knowledge | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis] | * [http://www.nature.com/articles/nature24270.epdf?author_access_token=VJXbVjaSHxFoctQQ4p2k4tRgN0jAjWel9jnR3ZoTv0PVW4gB86EEpGqTRDtpIz-2rmo8-KG06gqVobU5NSCFeHILHcVFUeMsbvwS-lxjqQGg98faovwjxeTUgZAUMnRQ Mastering the game of Go without human knowledge | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis] | ||
| − | + | * [http://science.sciencemag.org/content/sci/362/6419/1140.full.pdf A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis - Science] | |
| − | *[http://medium.com/applied-data-science/alphago-zero-explained-in-one-diagram-365f5abf67e0 AlphaGo Zero Explained In One Diagram | David Foster] | + | * [http://medium.com/applied-data-science/alphago-zero-explained-in-one-diagram-365f5abf67e0 AlphaGo Zero Explained In One Diagram | David Foster] |
<youtube>MgowR4pq3e8</youtube> | <youtube>MgowR4pq3e8</youtube> | ||
Revision as of 16:56, 10 December 2018
- Mastering the game of Go without human knowledge | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis - Science
- AlphaGo Zero Explained In One Diagram | David Foster
Monte Carlo Tree Search
MiniGo
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.
