Answers.Body: <p>No, GANs are <em>not</em> used. It's reinforcement learning at what it does best. The tree search is an interesting addition and assists with navigating the sheer scale of the game. </p>
  
  <p>Although the agent was playing itself to become better, there wasn't 2 separate networks (generator and discriminator). The agent learned through RL and didn't have the error calculations that generators and discriminatory have. </p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2017-12-24T13:27:38.207Z
Answers.Text: I found this article helpful re: what the search algorithm is: https://medium.com/@bramcohen/alphazeros-real-secret-sauce-is-mcts-b6f238d95374
Answers.UserDisplayName: dougvk
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2017-10-24T13:47:05.883Z
Answers.LastActivityDate: 2017-10-26T20:23:12.693Z
Answers.LastEditDate: 2017-10-26T20:23:12.693Z
Answers.UserDisplayName: Jaden Travnik
Body: <p>I read through the publication <a href="https://deepmind.com/research/publications/mastering-game-go-without-human-knowledge/" rel="nofollow noreferrer">Mastering the game of Go without Human Knowledge</a>. It doesn't seem to use GANs, just a new form of search and reinforcement learning.</p>
  
Tags: <reinforcement-learning><game-ai><generative-adversarial-networks><monte-carlo-tree-search><alphago>
Title: Is the new AlphaGo implementation using Generative Adversarial Networks?
UserDisplayName: dougvk
ThreadText: # Is the new AlphaGo implementation using Generative Adversarial Networks?
  
  (Asked by: username_0 on 2017-10-24)
  
  I read through the publication [Mastering the game of Go without Human Knowledge](https://deepmind.com/research/publications/mastering-game-go-without-human-knowledge/). It doesn't seem to use GANs, just a new form of search and reinforcement learning.
  
  **Tags:** reinforcement-learning, game-ai, generative-adversarial-networks, monte-carlo-tree-search, alphago
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2017-10-24. Score: 10 | Accepted answer
  
  No, GANs are *not* used. It's reinforcement learning at what it does best. The tree search is an interesting addition and assists with navigating the sheer scale of the game.
  
  Although the agent was playing itself to become better, there wasn't 2 separate networks (generator and discriminator). The agent learned through RL and didn't have the error calculations that generators and discriminatory have.
  
  > **Comments:**
  > **username_0**: I found this article helpful re: what the search algorithm is: https://medium.com/@bramcohen/alphazeros-real-secret-sauce-is-mcts-b6f238d95374  
  
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