Variant Stockfish Testing Queue

Filter: variant = ai-wok

Pending - 0 tests 0.0 hrs

None

Active - 2 machines 12 cores 0.48M nps (5.80M total nps) 13 games/minute

Machine Cores MNps System Version Running on Last updated
ianfab 1 0.89 Linux 4.15.0-1051-aws 72:2.7.17 master seconds ago
Belzedar94 11 0.45 Windows 10 70 master seconds ago

Finished - 29 tests

04-05-21 ia ai-wok master diff
ELO: 3.79 +-5.8 (95%) LOS: 90.0%
Total: 10000 W: 3671 L: 3562 D: 2767
10000 @ 10+0.1 th 1 regression test against Fairy-SF 13
11-03-21 ia ai-wok pawn_value4 diff
LLR: 2.98 (-2.94,2.94) [0.00,10.00]
Total: 2818 W: 1055 L: 938 D: 825
sprt @ 10+0.1 th 1
04-02-21 ia ai-wok fairy_nmp diff
LLR: -2.98 (-2.94,2.94) [0.00,10.00]
Total: 15454 W: 5499 L: 5376 D: 4579
sprt @ 10+0.1 th 1
06-02-21 ia ai-wok fmc4 diff
LLR: 2.97 (-2.94,2.94) [0.00,10.00]
Total: 11601 W: 3988 L: 3762 D: 3851
sprt @ 30+0.3 th 1
06-02-21 ia ai-wok singular1 diff
LLR: -2.95 (-2.94,2.94) [0.00,10.00]
Total: 12159 W: 4125 L: 4046 D: 3988
sprt @ 30+0.3 th 1
08-02-21 ia ai-wok reductions1 diff
LLR: -2.98 (-2.94,2.94) [0.00,10.00]
Total: 1417 W: 436 L: 495 D: 486
sprt @ 30+0.3 th 1
04-02-21 ia ai-wok reductions1 diff
LLR: -2.95 (-2.94,2.94) [0.00,10.00]
Total: 10141 W: 3585 L: 3531 D: 3025
sprt @ 10+0.1 th 1
07-02-21 ia ai-wok reductions2 diff
LLR: -2.95 (-2.94,2.94) [0.00,10.00]
Total: 1991 W: 650 L: 702 D: 639
sprt @ 30+0.3 th 1
04-02-21 ia ai-wok reductions2 diff
LLR: -2.97 (-2.94,2.94) [0.00,10.00]
Total: 7061 W: 2487 L: 2474 D: 2100
sprt @ 10+0.1 th 1
06-02-21 ia ai-wok fmc4 diff
LLR: 2.98 (-2.94,2.94) [0.00,10.00]
Total: 2648 W: 980 L: 866 D: 802
sprt @ 10+0.1 th 1
04-02-21 ia ai-wok fairy_see diff
LLR: -2.96 (-2.94,2.94) [0.00,10.00]
Total: 5980 W: 2135 L: 2136 D: 1709
sprt @ 10+0.1 th 1
05-02-21 ia ai-wok futility_depth1 diff
LLR: -2.95 (-2.94,2.94) [0.00,10.00]
Total: 4908 W: 1637 L: 1651 D: 1620
sprt @ 30+0.3 th 1
04-02-21 ia ai-wok singular1 diff
LLR: 2.97 (-2.94,2.94) [0.00,10.00]
Total: 4183 W: 1551 L: 1416 D: 1216
sprt @ 10+0.1 th 1
04-02-21 ia ai-wok futility_depth1 diff
LLR: -2.97 (-2.94,2.94) [0.00,10.00]
Total: 3321 W: 1155 L: 1191 D: 975
sprt @ 10+0.1 th 1
04-02-21 ia ai-wok reductions4 diff
LLR: -2.96 (-2.94,2.94) [0.00,10.00]
Total: 2976 W: 1019 L: 1059 D: 898
sprt @ 10+0.1 th 1
04-02-21 ia ai-wok futility_depth2 diff
LLR: -2.96 (-2.94,2.94) [0.00,10.00]
Total: 1944 W: 642 L: 695 D: 607
sprt @ 10+0.1 th 1
04-02-21 ia ai-wok reductions3 diff
LLR: -2.97 (-2.94,2.94) [0.00,10.00]
Total: 878 W: 282 L: 351 D: 245
sprt @ 10+0.1 th 1
03-02-21 ia ai-wok tune_search diff
4809/5000 iterations
10000/10000 games played
10000 @ 30+0.3 th 1 A=100
02-02-21 ia ai-wok master diff
ELO: -65.38 +-12.7 (95%) LOS: 0.0%
Total: 2000 W: 498 L: 870 D: 632
2000 @ 30+0.3 th 1 vs. 11.2
10-12-20 To ai-wok patch-1 diff
LLR: -2.95 (-2.94,2.94) [0.00,10.00]
Total: 1675 W: 561 L: 618 D: 496
sprt @ 10+0.1 th 1 Better with aiwok=2400 mid-game?
09-04-20 ia ai-wok master diff
ELO: -0.69 +-17.5 (95%) LOS: 46.9%
Total: 1000 W: 328 L: 330 D: 342
1000 @ 30+0.3 th 1 regression test against fairy-SF 11
09-02-20 ia ai-wok tune_pv diff
4884/5000 iterations
10000/10000 games played
10000 @ 30+0.3 th 1 tune piece values
15-11-19 ia ai-wok piece_values diff
LLR: 2.95 (-2.94,2.94) [0.00,10.00]
Total: 27865 W: 9319 L: 8890 D: 9656
sprt @ 30+0.3 th 1 tweak fairy piece values
12-11-19 ia ai-wok tune_pv diff
4636/5000 iterations
10000/10000 games played
10000 @ 10+0.1 th 1 tune piece values
13-11-19 ia ai-wok piece_values diff
LLR: 2.95 (-2.94,2.94) [0.00,10.00]
Total: 12183 W: 4264 L: 4029 D: 3890
sprt @ 10+0.1 th 1 tweak fairy piece values
26-09-19 ia ai-wok shuffle_extension diff
LLR: 2.97 (-2.94,2.94) [-10.00,5.00]
Total: 1244 W: 424 L: 381 D: 439
sprt @ 30+0.3 th 1 skip shuffle extension
28-08-19 ia ai-wok piece_values2 diff
LLR: 2.96 (-2.94,2.94) [-10.00,5.00]
Total: 3631 W: 1294 L: 1265 D: 1072
sprt @ 10+0.1 th 1 tweak silver piece value
28-08-19 ia ai-wok piece_values diff
LLR: -2.98 (-2.94,2.94) [-10.00,5.00]
Total: 3677 W: 1214 L: 1290 D: 1173
sprt @ 10+0.1 th 1 tweak piece values
20-08-19 ia ai-wok master diff
ELO: -11.47 +-17.8 (95%) LOS: 10.3%
Total: 1000 W: 326 L: 359 D: 315
1000 @ 10+0.1 th 1 test new variants