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48 hoursPlaying around with huge nn's, poorly trained.sixestslil
Not great at shallow depths
48 hoursDon't generate header for training data + tweakstslil
For some reason it would seem that moving flats to a lower value and increasing the proximity between caps and top flats improves acquisition. Still not great, but every bit counts.
48 hoursChange the training data generation a littletslil clingman
Although it pains me to say it, ``label smoothing'' appears to be actually work. I'm also currently experimenting with training simply against _all_ games, instead of only bot matches. Once the training finishes i'll pit cttei against itself with old and new weights, hopefully there'll be a noticeable improvement.
48 hoursTEI interface working!tslil clingman
48 hoursTried some naive iterative deepening. Work on TEI interface nexttslil clingman
If TEI is implemented, then i could make use of Morten's racetrack (https://github.com/MortenLohne/racetrack) and develop a quantitative measure of the bot's performance. This is the current priority.
48 hoursJust some #weightgoals ;)tslil clingman
It turns out that while i was training on a 0/1 classification problem, i was using 2*eval - 1. Training using this function instead, and on bot-dominated game choices (chosen_player in extract.sh) seems to have given a better evaluation function. At the least, Morten's swindle doesn't work anymore.
48 hoursSyntax errors, small tweak to training data generationtslil clingman
48 hoursCleaned up build systemtslil clingman