Go engine without human-provided knowledge based on AlphaGo Zero paper
A Go program with no human provided knowledge. Using MCTS (but without Monte Carlo playouts) and a deep residual convolutional neural network stack. This is a fairly faithful reimplementation of the system described in the Alpha Go Zero paper "Mastering the Game of Go without Human Knowledge". For all intents and purposes, it is an open source AlphaGo Zero.
$
pkg install leela-zeroOrigin
games/leela-zero
Size
1.30MiB
License
GPLv2
Maintainer
yuri@FreeBSD.org
Dependencies
5 packages
Required by
1 packages