Endgame Net

Latest release

The Ender net (64x6) was initially trained on ~400k semirandom 6, 5, 4, 3 man positions with perfect playouts by sf9tb. This lead to mediocre play.

Currently the net is being trained on 20k batches of playouts (500k window), played from 12 and 6 man positions sampled from a CCRL database, Kingbase played out from resignation, as well as 12, 6, 5, 4, and 3 man semirandom positions. The positions are played both ways between sf9tb and the latest net at 0.25s per move.

Test Suite

Test suites aren't the end all and be all of testing, but Ender 5 has finally surpassed the 20b networks:

Ender 5 - 5 seconds, 2 threads
Success rate: 52.35% (78/149)
T902 - 5 seconds, 2 threads
Success rate: 45.64% (68/149)

First Goal: win KQvKR

Right now none of the Leela nets can do this.

ID512 over 1000 positions (2000 playouts)

12 man CCRL        Elo difference: 61.08 +/- 24.17
12 man Kingbase    Elo difference: 76.98 +/- 23.64
12 man semi random Elo difference: 10.43 +/- 47.67
6 man CCRL         Elo difference: 36.62 +/- 35.66
6 man Kingbase     Elo difference: 47.19 +/- 37.99
6 man semi random  Elo difference: 10.43 +/- 61.08
5 man semi random  Elo difference: 10.43 +/- 61.08
4 man semi random  Elo difference: 0.00 +/- 54.85
3 man semi random  Elo difference: 0.00 +/- 60.66

Ender 3 (trained on batch 3) over 10k positions (20k playouts)

12 man CCRL        Elo difference: 99.05 +/- 7.85
12 man Kingbase    Elo difference: 99.65 +/- 7.75
12 man semi random Elo difference: 15.99 +/- 14.86
6 man CCRL         Elo difference: 38.02 +/- 10.72
6 man Kingbase     Elo difference: 50.56 +/- 11.37
6 man semi random  Elo difference: 16.69 +/- 19.51
5 man semi random  Elo difference: 13.56 +/- 18.61
4 man semi random  Elo difference: 15.99 +/- 16.95
3 man semi random  Elo difference: 0.00 +/- 19.49