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Tuned razor and futility margins

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Tuning was done with Bayesian optimisation with the following parameters:
Acquisition function: Expected Improvement
alpha: 0.05
xi: 1e-4
TC: 60+0.6
Number of iterations: 100
Initial points: 5
Batch size: 20 games

STC
http://tests.stockfishchess.org/tests/view/5dee291e3cff9a249bb9e470
LLR: 2.97 (-2.94,2.94) [-1.50,4.50]
Total: 19586 W: 4382 L: 4214 D: 10990

LTC
http://tests.stockfishchess.org/tests/view/5dee4e273cff9a249bb9e473
LLR: 2.95 (-2.94,2.94) [0.00,3.50]
Total: 38840 W: 6315 L: 6036 D: 26489

Bench: 5033242
This commit is contained in:
lantonov 2019-12-09 20:50:47 +02:00 • committed by Stéphane Nicolet
parent 3ef0c3c34a
commit 443787b0d1
1 changed files with 2 additions and 2 deletions
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src/search.cpp
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@ -65,9 +65,9 @@ namespace {
constexpr uint64_t ttHitAverageResolution = 1024; constexpr uint64_t ttHitAverageResolution = 1024;
// Razor and futility margins // Razor and futility margins
constexpr int RazorMargin = 661; constexpr int RazorMargin = 594;
Value futility_margin(Depth d, bool improving) { Value futility_margin(Depth d, bool improving) {
return Value(198 * (d - improving)); return Value(232 * (d - improving));
} }
// Reductions lookup table, initialized at startup // Reductions lookup table, initialized at startup