9x9 AlphaGo
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Updated
Jul 27, 2016 - Python
9x9 AlphaGo
Naive Implementation to mimic AlphaGo next move.
Term 1 Project 1 Build a Game-Playing Agent by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
Replicating AlphaGo's architecture in a readable manner
Independent efficient re-Implementation AlphaGo SL policy network
This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube
General Go/Baduk books, problems, pro games & more
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Projects from Udacity's Artificial Intelligence Nanodegree (August 2017 cohort) - TERM 1.
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
Chess reinforcement learning by AlphaGo Zero methods.
Reversi reinforcement learning by AlphaGo Zero methods.
A clean implementation of a self-play learning algorithm based on AlphaGo Zero (any game, any framework!) + tutorial
Application of AlphaGo (v1) on udacity's 'Isolation' Game
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