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Retire eval margin and gains
1/ eval margin and gains removed: - gains removed by Value(128): search() and qsearch() now behave consistently! 2/ futility_margin() - testing showed that there is no added value in this weird (log(depth), movecount) formula, and a much simpler linear formula is just as good. In fact, it is most likely better, as it is not yet optimally tuned. - the new simplified formula also means we get rid of FutilityMargins[], its initialization code, and more importantly ss->futilityMoveCount, and the hacky code that updates it throughout the search(). - the current formula gives negative futility margins, and there is a hidden interaction between the move coutn pruning formula and the futility margin one: what happens is that MCP is supposed to be triggered before we use the non-sensical negative futility margins. 3/ unify pre & post futility pruning - pre futility pruning (what SF calls value based pruning) used depth < 7 plies, while post futility pruning (what SF calls static null move pruning) used depth < 4 plies. - also the condition depth < 7 in pre futility pruning was not obvious, and it seemd to be depth < 16 (futility_margin() returns an infinite value when depth >= 7). Tested with fixed number of games both at short TC: ELO: 0.82 +-2.1 (95%) LOS: 77.3% Total: 40000 W: 7939 L: 7845 D: 24216 And long TC ELO: 0.59 +-2.0 (95%) LOS: 71.9% Total: 40000 W: 6876 L: 6808 D: 26316 bench: 10206576
This commit is contained in:
committed by
Marco Costalba
parent
52ae0efccf
commit
ecd07e51d0
@@ -30,14 +30,13 @@
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/// The Stats struct stores moves statistics. According to the template parameter
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/// the class can store History, Gains and Countermoves. History records how often
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/// the class can store History and Countermoves. History records how often
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/// different moves have been successful or unsuccessful during the current search
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/// and is used for reduction and move ordering decisions. Gains records the move's
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/// best evaluation gain from one ply to the next and is used for pruning decisions.
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/// and is used for reduction and move ordering decisions.
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/// Countermoves store the move that refute a previous one. Entries are stored
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/// according only to moving piece and destination square, hence two moves with
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/// different origin but same destination and piece will be considered identical.
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template<bool Gain, typename T>
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template<typename T>
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struct Stats {
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static const Value Max = Value(2000);
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@@ -56,10 +55,7 @@ struct Stats {
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void update(Piece p, Square to, Value v) {
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if (Gain)
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table[p][to] = std::max(v, table[p][to] - 1);
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else if (abs(table[p][to] + v) < Max)
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if (abs(table[p][to] + v) < Max)
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table[p][to] += v;
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}
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@@ -67,9 +63,8 @@ private:
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T table[PIECE_NB][SQUARE_NB];
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};
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typedef Stats< true, Value> GainsStats;
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typedef Stats<false, Value> HistoryStats;
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typedef Stats<false, std::pair<Move, Move> > CountermovesStats;
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typedef Stats<Value> HistoryStats;
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typedef Stats<std::pair<Move, Move> > CountermovesStats;
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/// MovePicker class is used to pick one pseudo legal move at a time from the
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