Author: Chris Bolt Rating CEDR=2493
Eubos 4.2 what's new?
Retrained a new net based on the same training set as used in Eubos v4.1, but searched with the v4.1 neural net to a depth of at least 5ply and at least 25KNodes. 102.7M positions were used. The training data was updated on a grid of Raspberry Pis, so it took quite some time.
Also in this release I reworked the code for running an inference into iterative updates of the accumulators. This has greatly improved the speed of Eubos.
Eubos 3.9 JA vs other engines:
Pioneer 0.3.2 JA | 4/4 | +4 | 4 Games |
Mufasa 0.2.1 JA | 3.5/4 | +3 | 4 Games |
Integral 7.0.0 | 0/4 | -4 | 4 Games |
HypnoS ++ 1.02 | 0/4 | -4 | 4 Games |
GOOB 1.8.9 JA | 0/4 | -4 | 4 Games |
Peacekeeper 3.01 JA | 0/4 | -4 | 4 Games |
Odonata 1.0.0 JA | 0/4 | -4 | 4 Games |
Obsidian 15.03 SE | 0/4 | -4 | 4 Games |
Killfish PB 090225 | 0/4 | -4 | 4 Games |
Midnight 9 JA | 0/4 | -4 | 4 Games |
Fatalii 0.9.0 | 0/4 | -4 | 4 Games |
Beef 0.3.6 JA | 0/3 | -3 | 3 Games |
Bitbit 1.3 | 2/2 | +2 | 2 Games |
Rustic Alpha 3.05 JA | 2/2 | +2 | 2 Games |
Reggz 0.6.0 | 2/2 | +2 | 2 Games |
Deep Blunder 1.2.0 JA | 2/2 | +2 | 2 Games |
Jester 0.85 JA | 2/2 | +2 | 2 Games |
Sloth 2.0 JA | 1.5/2 | +1 | 2 Games |
100 Elo Chess Engine | 1.5/2 | +1 | 2 Games |
Fatalii 0.9.0 JA | 1/2 | +0 | 2 Games |
Stro4k 3.0 JA | 1/2 | +0 | 2 Games |
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