Winter v2.0
The primary change in this major release is due to more self play data to train a better network. Holes in elementary endgames have been closed, so play in many of those positions should be noticeably better.
Huge thank you to Seer author Connor McMonigle, who generated the Windows Winter compiles for this version. Without this, there is a good chance I would procrastinate the release for another couple of weeks!
Also thank you to Andrew Grant and the contributors to OpenBench, without whom it would not be possible to test changes to Winter with any statistical significance.
Self play results in DFRC bullet testing:
Winter v2.0 vs Winter v1.0
ELO | 100.40 +- 7.99 (95%)
CONF | 40.0+0.40s Threads=1 Hash=64MB
GAMES | N: 5000 W: 2344 L: 938 D: 1718