<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>

CC BY-SA 3.0
2017-12-24T13:27:38.207Z
I found this article helpful re: what the search algorithm is: https://medium.com/@bramcohen/alphazeros-real-secret-sauce-is-mcts-b6f238d95374
dougvk
CC BY-SA 3.0
2017-10-24T13:47:05.883Z
2017-10-26T20:23:12.693Z
2017-10-26T20:23:12.693Z
Jaden Travnik
<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>

<reinforcement-learning><game-ai><generative-adversarial-networks><monte-carlo-tree-search><alphago>
Is the new AlphaGo implementation using Generative Adversarial Networks?
dougvk
# 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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