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 [1] as successor of LeelaLite, already announced in October 2018 [2] . 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 [3]. A0lite had its official tournament debut at the Qualification League of TCEC Season 19.

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