A0lite

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A0lite, a didactic UCI compliant neural network chess engine by Dietrich Kappe, written in Python, released in March 2020 under the permissive MIT License. A0lite applies upper confidence bounds to Monte-Carlo trees, and requires the installalion of the badgyal PyTorch net evaluator, by default using MeanGirl-8 (32x4) net on CPU.

=See also=
 * AlphaZero
 * Leela Chess Zero

=Forum Posts=
 * New engine: a0lite by Dietrich Kappe, CCC, March 28, 2020
 * a0lite problems with badygal configuration etc. by Norbert Raimund Leisner, CCC, June 03, 2020

=External Links=

Engine

 * GitHub - dkappe/a0lite: A neural net chess engine in 95 lines of python
 * GitHub - dkappe/badgyal: Simple pytorch net evaluator with Bad Gyal 8 and Mean Girl 8 net included
 * GitHub - joergoster/a0lite: A neural net chess engine in 95 lines of python

Misc

 * A0 from Wikipedia
 * Lite from Wikipedia
 * lite - Wiktionary
 * Bad Gyal from Wikipedia
 * Status Quo - Mean Girl (1971), YouTube Video

=References= Up one Level