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Use an affine formula to mix stats and eval
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Follow-up for the previous patch: we use an affine formula to mix stats
and evaluation in search. The idea is to give a bonus if the previous
move of the opponent was historically bad, and a malus if the previous
move of the opponent was historically good.

More precisely, if x is the stat score of the previous move by the opponent,
we implement the following formulas to tweak the evaluation at an internal
node of the tree for our pruning decisions at this node:

if x = 0, use v' = eval(P)
if x > 0, use v' = eval(P) - 5 - x/1024
if x < 0, use v' = eval(P) + 5 - x/1024

For reference, the previous master had this simpler rule:

if x > 0, use v' = eval(P) - 10
if x <= 0, use v' = eval(P)

STC:
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 29322 W: 6359 L: 6088 D: 16875
http://tests.stockfishchess.org/tests/view/5b76a5980ebc5902bdba957f

LTC:
LLR: 2.96 (-2.94,2.94) [0.00,5.00]
Total: 30893 W: 5154 L: 4910 D: 20829
http://tests.stockfishchess.org/tests/view/5b76ca6d0ebc5902bdba9914

Closes #1740

Bench: 4592766
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snicolet committed Aug 17, 2018
1 parent 96c3a1f commit f3b8a69
Showing 1 changed file with 7 additions and 5 deletions.
12 changes: 7 additions & 5 deletions src/search.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -722,12 +722,14 @@ namespace {
}
else
{
ss->staticEval = eval =
(ss-1)->currentMove != MOVE_NULL ? evaluate(pos) - 10 * ((ss-1)->statScore > 0)
: -(ss-1)->staticEval + 2 * Eval::Tempo;
int p = (ss-1)->statScore;
int malus = p > 0 ? (p + 5000) / 1024 :
p < 0 ? (p - 5000) / 1024 : 0;

tte->save(posKey, VALUE_NONE, BOUND_NONE, DEPTH_NONE, MOVE_NONE,
ss->staticEval);
ss->staticEval = eval = (ss-1)->currentMove != MOVE_NULL ? evaluate(pos) - malus
: -(ss-1)->staticEval + 2 * Eval::Tempo;

tte->save(posKey, VALUE_NONE, BOUND_NONE, DEPTH_NONE, MOVE_NONE, ss->staticEval);
}

// Step 7. Razoring (~2 Elo)
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