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AlphaZero applied to an analog game.
Latest   Machine Learning

AlphaZero applied to an analog game.

Last Updated on July 21, 2023 by Editorial Team

Author(s): Mikhail Simin

Originally published on Towards AI.

Artificial Intelligence, Machine Learning

The majority of turn-based games, that AlphaZero has been applied to, all share one common aspect — they are played on a board with discrete locations for pieces. This is true for Go, Chess, Shogi, and numerous other games.

Source: Free Image by Kristin Hardwick

A board with discrete spaces can be easily represented as a small image. A chessboard would fit into an image of size 8 pixels by 8 pixels. For comparison, the stock photo above is 960 pixels by 640 pixels. Convolutional Neural Network (CNN) was specifically designed to do image analysis. It learns faster than a fully connected… Read the full blog for free on Medium.

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