Caissa v1.13
Changes
- New neural net trained on 3.5B positions
- Use threats in history heuristics (based on Berserk)
- Average base score used for aspiration windows
- Embed neural network in executable
- Switch from MSVC to GCC compiler for Windows release
Elo gain
Book=UHO_4060_v2, TC=40+0.4
Score of Caissa 1.13 AVX2 vs Caissa 1.12 AVX2: 459 - 325 - 877 [0.540] 1661
... Caissa 1.13 AVX2 playing White: 450 - 6 - 376 [0.767] 832
... Caissa 1.13 AVX2 playing Black: 9 - 319 - 501 [0.313] 829
... White vs Black: 769 - 15 - 877 [0.727] 1661
Elo difference: 28.1 +/- 11.5, LOS: 100.0 %, DrawRatio: 52.8 %
Book=DFRC, TC=8+0.08
Score of Caissa 1.13 AVX2 vs Caissa 1.12 AVX2: 326 - 231 - 773 [0.536] 1330
... Caissa 1.13 AVX2 playing White: 229 - 64 - 372 [0.624] 665
... Caissa 1.13 AVX2 playing Black: 97 - 167 - 401 [0.447] 665
... White vs Black: 396 - 161 - 773 [0.588] 1330
Elo difference: 24.9 +/- 12.1, LOS: 100.0 %, DrawRatio: 58.1 %
Book=UHO_4060_v2, TC=8+0.08
Score of Caissa 1.13 AVX2 vs Caissa 1.12 AVX2: 555 - 436 - 1121 [0.528] 2112
... Caissa 1.13 AVX2 playing White: 530 - 22 - 506 [0.740] 1058
... Caissa 1.13 AVX2 playing Black: 25 - 414 - 615 [0.315] 1054
... White vs Black: 944 - 47 - 1121 [0.712] 2112
Elo difference: 19.6 +/- 10.1, LOS: 100.0 %, DrawRatio: 53.1 %