This release adds an estimated 50 Elo in self play under UHO testing conditions. This improvement in strength can be attributed to an improved network fine-tuned exclusively on a self play game result (WDL) target, improved repetition detection, SPSA search parameter tuning and a number of miscellaneous search refinements. As was the case for the prior release, the embedded network was trained solely on data originating from Seer produced by way of many self play iterations starting with the initial "retrograde learning" network bundled with v2.0.0-v2.1.0 as a base.
Elo | 52.22 +- 3.42 (95%)
Conf | 40.0+0.40s Threads=1 Hash=64MB
Games | N: 20002 W: 6531 L: 3547 D: 9924
Penta | [33, 1217, 4716, 3803, 232]
http://chess.grantnet.us/test/34901/
Thanks to everyone involved with the OpenBench project for making Seer's continued development possible!