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'''A0lite''',<br/>
a didactic [[UCI]] compliant [[Neural Networks|neural network]] chess engine by [[Dietrich Kappe]], written in [[Python]], released in March 2020 under the permissive [[Massachusetts Institute of Technology#License|MIT License]] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=73495 New engine: a0lite] by [[Dietrich Kappe]], [[CCC]], March 28, 2020</ref>.
A0lite applies [[UCT|upper confidence bounds]] to [[Monte-Carlo Tree Search|Monte-Carlo trees]], and requires the installalion of the ''badgyal''[https://en.wikipedia.org/wiki/PyTorch PyTorch] net evaluator, by default using ''MeanGirl-8 (32x4)'' net on CPU <ref>[https://github.com/dkappe/a0lite/blob/master/README.md a0lite/README.md at master · dkappe/a0lite · GitHub]</ref>.
=See also=
