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<title>ctak/src/geminict.c, branch hybrid_rootstrap</title>
<subtitle>An implementation of Tak and a computer opponent in C</subtitle>
<id>https://git.l-3.space/ctak/atom/src/geminict.c?h=hybrid_rootstrap</id>
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<updated>2026-09-12T14:47:15Z</updated>
<entry>
<title>flood fill for roads, fix dragon, memoise leaf eval, enable diagonal in nn_train.py</title>
<updated>2026-09-12T14:47:15Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2026-09-11T17:36:10Z</published>
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<id>urn:sha1:a361728f39812e25599323c52510c0eb3131bd90</id>
<content type='text'>
</content>
</entry>
<entry>
<title>default engines to depth 4, add a rolling window to nn_train.py</title>
<updated>2026-09-02T18:43:12Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2026-09-02T11:21:20Z</published>
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I've noticed high variability in training efficacy, part of that i think is due to the fact that the dataset per iteration is not really that large. Sure, it has many rows, but it's fundamentally given by the same engine playing itself with some entropy injection. To remedy this i've expanded the input data for any given iteration to contain --replay-iters many previous datasets as input too. Alongside that decreased the epsilon decay rate for slower "cooling", and included much more of the early game in the training set (min ply 8 -&gt; 4).
</content>
</entry>
<entry>
<title>might as well enable size 6</title>
<updated>2023-01-21T21:00:57Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2023-01-21T18:30:45Z</published>
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<id>urn:sha1:72c5056c5aa614d9a86f8b760955cfcf96c44be4</id>
<content type='text'>
Same network architecture, same training principle. Predictably this is
too slow.

Also statically allocate state in driver programmes.
</content>
</entry>
<entry>
<title>switch to explicit game state &amp; important bug fix &amp; clang format</title>
<updated>2023-01-16T11:25:47Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2023-01-15T20:31:00Z</published>
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<id>urn:sha1:ef785da721a47e6d13aa854c795d2a9e269285b0</id>
<content type='text'>
Previously the code base assumed that there was a single, global game
state which was the implicit target of all actions taken. Looking
ahead at architectural improvements, this has now been (almost
entirely) made explicit and functions take tak_state_p where
necessary (and also where unnecessary).

Two important fixes to actions.c were made:

- Previously when generating the possible stack moves, stack height
overflows (&gt; 15) were not taken into account and this resulted in the
tree search corrupting the board state. Now action search does not
list all legal actions, rather the subset of these encodeable by the
implementation.

- The check for crushing on a stack move was incorrect (too strict),
and this resulted in many legitimate moves being igonored.

Finally, in other changes, weights have also been improved by training
all games instead of some subset for chosen players, and clang-format
was run on the codebase.
</content>
</entry>
<entry>
<title>Went for more standard unicode symbols</title>
<updated>2021-10-06T13:46:13Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-10-06T13:46:13Z</published>
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<id>urn:sha1:3dd2bf6b5a2a102f257bd7822c3a95db20ea317c</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Corrected win screen in geminict</title>
<updated>2021-10-06T13:26:04Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-10-06T13:26:04Z</published>
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<id>urn:sha1:90658a0c3fa9353f6e9e0f36761f4c28b2858c2c</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Enforce quoted ptn string for geminict</title>
<updated>2021-10-06T12:50:27Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-10-06T12:50:27Z</published>
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<id>urn:sha1:9c24621233c22de6ffd3ddcfe68f0b48601d27fd</id>
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</entry>
<entry>
<title>Welcome geminict!</title>
<updated>2021-10-05T22:23:32Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-10-05T22:22:23Z</published>
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<id>urn:sha1:c9fa20b590de94a9ddb408e277065a117b16570b</id>
<content type='text'>
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.
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