An implementation of Tak and a computer opponent in C https://git.l-3.space/cgit/ctak/atom?h=main 2026-08-28T18:37:41Z 2026-08-28T18:37:41Z tslil clingman tslil@posteo.de 2023-01-15T15:03:37Z urn:sha1:ee216c008a188a9436fedb85c70ee5d1719733b1 Gone is the convolutional neural network, for it turns out not only is it more difficult to train, but all of the extra information about board layers didn't make much of a difference at this size. So cnn1986 has been replaced by nn1986, a standard, two-layer, dense nn configured as a binary classifier and (mis)used in that capacity. Note: total number of parameters is unchanged. HARK: this new nn exposes a bug somewhere in ctak. Run ctlm with self-play to see the completely borked board state at the end. 2026-08-28T18:37:41Z tslil clingman tslil@posteo.de 2021-10-05T22:22:23Z urn:sha1:cf175fc346f1b208766b1f55d3673a7b208f322a This is a special interface to negamax_cnn1986 which is designed to generate output for use in a CGI tak interface to be used over gemini. Also in this commit is a reformating of the various source files to use the traditional tab width of 8 spaces. 2026-08-28T18:37:41Z tslil clingman tslil@posteo.de 2021-03-28T04:19:05Z urn:sha1:2dbb9fa9b69e49d49cebb1c17559f6fe67600a4d Eventually there'll be a more complicated data generation step than the one we're presently using, so having it in-lined in the loop is wasteful. Ideally also this would be update per ply and we could avoid recalculating it entirely for every query -- though it's probably ``fast enough'' for now. Also, caching is WIP. 2026-08-28T18:37:41Z tslil tslil@posteo.de 2021-02-05T21:49:14Z urn:sha1:ce09b6d94ac3dbf426e959b14fd7731001a003d1 2026-08-28T18:37:41Z tslil clingman tslil@posteo.de 2021-01-29T02:30:30Z urn:sha1:a77062ce3dc9a99ad0662010cc7eeb00dd5036a6 2026-08-28T18:37:41Z tslil clingman tslil@posteo.de 2021-01-23T23:20:05Z urn:sha1:18496a371a2204e8c1b448921a87108f4aa7ada3