| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2021-02-11 | Don't generate header for training data + tweaks | tslil | |
| 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. | |||
| 2021-02-10 | Change the training data generation a little | tslil 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. | |||
| 2021-02-05 | TEI interface working! | tslil clingman | |
| 2021-02-01 | Tried some naive iterative deepening. Work on TEI interface next | tslil 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. | |||
| 2021-01-31 | Just 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. | |||
| 2021-01-29 | Syntax errors, small tweak to training data generation | tslil clingman | |
| 2021-01-28 | Added license information! | tslil clingman | |
| 2021-01-18 | Added tunable search depth and self-play | tslil clingman | |
| 2021-01-18 | Toying with symmetrising data | tslil clingman | |
| 2021-01-16 | Went back up to 1986 weights | tslil | |
| 2021-01-15 | Changed function back to macro | tslil | |
| 2021-01-14 | Seems tolerable, but not great. Still wont win or lose ??? | tslil | |
| 2021-01-13 | Fixed minimax (!), fixed bugs in tak.c | tslil | |
| With minimax of depth 1 the evaluation function seems alright with the current method of training and generating weights | |||
| 2021-01-13 | Trying minimax | tslil | |
| 2021-01-13 | Weights? | tslil | |
| 2021-01-13 | Wider? | tslil | |
| 2021-01-13 | Trying various things to teach ti | tslil | |
| 2021-01-12 | Generate the correct format directly | tslil | |
| 2021-01-12 | Train on data that is close to the end of the game only | tslil | |
| 2021-01-11 | Hopefully removed all layer bugs | tslil | |
| 2021-01-11 | Trying again with correct data generation | tslil | |
| 2021-01-11 | Close in principle, but there;s a bug in ct1997 &/ pptdb! | tslil | |
| 2021-01-09 | Two inputs to model, stacks and flat counts | tslil | |
| 2021-01-09 | Shuffling is important | tslil | |
| 2021-01-08 | Fixed a small bug in PTN parsing, other stuff | tslil | |
| 2021-01-08 | Closing in on something reasonable for roads | tslil | |
| 2021-01-07 | Searching for a good representation | tslil | |
| 2021-01-06 | Small tweaks | tslil | |
| 2021-01-06 | On the hunt for a better representation | tslil | |
| 2021-01-05 | Experimenting with training nn | tslil | |
| 2021-01-05 | Separate concerns in pptdb, remove legacy in extract.sh | tslil | |
| 2021-01-05 | Gotta go fast | tslil | |
| 2021-01-05 | First attempt at training data + exclude draws + list overflows too | tslil | |
| Take the output and do grep -Fvxf output_file input_file to drop the bad games from consideration | |||
| 2021-01-04 | Tabs for indentation, spaces for alignment | tslil | |
| 2021-01-04 | Fixed indentation and some bugs, stats programme | tslil | |
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index : ctak | |
| An implementation of Tak and a computer opponent in C | git repository hosting |
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