Looking for deeper understanding of AlphaZero algorithm

This page summarizes the projects mentioned and recommended in the original post on /r/baduk

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  • SelfplayLab

    Implementation of the alphago zero algorithm with some small games for experimenting with reinforcement learning

    My own, not at all optimal implementation is here

  • alpha-zero-general

    A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • minigo

    Discontinued An open-source implementation of the AlphaGoZero algorithm

    If you want to see some real code, and are comfortable with Python, here's a minimal open source implementation of the ideas: https://github.com/tensorflow/minigo

  • deeplearning-notes

    Notes for Deep Learning Specialization Courses led by Andrew Ng.

    I can strongly recommend the Coursera Deep Learning Specialization. It won't get you to the point where you will build AlphaGo, but it will give you enough of a grounding where you can use some of the main development libraries, and read some of the papers without your hair immediately catching fire.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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