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AlphaGo: Mastering the game of Go with deep neural networks and tree search

Mar 9, 2020
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This post is from Deepmind and OpenAI papers series, which I try to summarize and take some notes from some interesting papers from Deepmind and OpenAI. Here I will start with AlphaGo, which tries to combine the Monte Carlo Tree Search algorithm with deep learning to play Go.

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That’s it for the first one. In the next post, I will review the AlphaGo Zero paper.

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Isaac Kargar
Isaac Kargar

Written by Isaac Kargar

AI Researcher | Ph.D. candidate at the Intelligent Robotics Group at Aalto University | https://kargarisaac.github.io/

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