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 as successor of LeelaLite, already announced in October 2018. A0lite applies upper confidence bounds to Monte-Carlo trees, and requires the installation of the Bad Gyal PyTorch net evaluator, by default using MeanGirl-8 (32x4) net on CPU. A0lite had its official tournament debut at the Qualification League of TCEC Season 19.

=See also=
 * AlphaZero
 * Leela Chess Zero
 * Maia Chess

=Forum Posts=
 * Leela Lite: A toolkit for experimenting with leela nets in python by Dietrich Kappe, CCC, October 31, 2018
 * An opponent for humans: Bad Gyal by Dietrich Kappe, CCC, July 02, 2019
 * Mean Girl 8 released by Dietrich Kappe, CCC, January 04, 2020
 * New engine: a0lite by Dietrich Kappe, CCC, March 28, 2020
 * a0lite problems with badygal configuration etc. by Norbert Raimund Leisner, CCC, June 03, 2020
 * Night Nurse 0.2 by Dietrich Kappe, CCC, August 19, 2020 » Igel, NNUE

=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
 * GitHub - dkappe/leela_lite: A toolkit for experimenting with UCT and Leela Chess nets in Python (predecessor of A0lite)

Misc

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

=References= Up one Level