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Releases: vshcherbyna/igel

Igel 3.6.0

28 Dec 22:56
8329f2a

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What's new:

  • extend by 2 in singular extension on non pv move
  • improve low bound condition in singular extension
  • check beta score in probcut condition
  • store in TT in standing pat in qsearch
  • implement iid
  • tune null move depth
  • tune razor depth
  • remove instant moves handling

Regression run against Igel 3.5.0:

Long Time Control With Increment (60s+0.6s)

Elo   | 21.28 +- 3.60 (95%)
Conf  | 60.0+0.60s Threads=1 Hash=64MB
Games | N: 8860 W: 2461 L: 1919 D: 4480
Penta | [7, 798, 2299, 1298, 28]

Short Time Control With Increment (10s+0.1s)

Elo   | 20.07 +- 3.21 (95%)
Conf  | 10.0+0.10s Threads=1 Hash=8MB
Games | N: 13918 W: 3953 L: 3150 D: 6815
Penta | [76, 1392, 3306, 2023, 162]

Igel 3.5.0

22 Jun 19:26
7412bd1

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What's new:

  • new network architecture
  • new network c049c117

Regression run against Igel 3.4.0:

Long Time Control With Increment (60s+0.6s)

ELO   | 43.10 +- 3.70 (95%)
CONF  | 60.0+0.60s Threads=1 Hash=64MB
GAMES | N: 17568 W: 5631 L: 3463 D: 8474

Short Time Control With Increment (10s+0.1s)

ELO   | 38.72 +- 3.35 (95%)
CONF  | 10.0+0.10s Threads=1 Hash=8MB
GAMES | N: 22976 W: 7639 L: 5089 D: 10248

Igel 3.4.0

30 Jan 20:37
2e88f55

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What's new:

  • fixing major bug in accumulator handling for null moves
  • avoid heap objects (std::vector) in search function to reduce heap fragementation
  • switching to pure nnue evaluation
  • new network architecture HalfKav2_hm
  • new network ign-3-debc71a4

Regression run against Igel 3.3.0:

Long Time Control With Increment

ELO   | 75.10 +- 5.38 (95%)
CONF  | 60.0+0.60s Threads=1 Hash=64MB
GAMES | N: 8480 W: 3133 L: 1328 D: 4019

Igel 3.3.0

15 Jan 12:17
eb425a9

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What's new:

  • new network architecture
  • new network ign-2-51ba2968

Regression run against Igel 3.2.0:

Short Time Control With Increment

Score of Igel 3.3.0 64 BMI2 AVX2 vs Igel 3.2.0 64 BMI2 AVX2: 1713 - 756 - 2531  [0.596] 5000
...      Igel 3.3.0 64 BMI2 AVX2 playing White: 1073 - 258 - 1169  [0.663] 2500
...      Igel 3.3.0 64 BMI2 AVX2 playing Black: 640 - 498 - 1362  [0.528] 2500
...      White vs Black: 1571 - 898 - 2531  [0.567] 5000
Elo difference: 67.3 +/- 6.8, LOS: 100.0 %, DrawRatio: 50.6 %

Igel 3.2.0

17 Dec 18:56
abeb25e

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What's new:

  • smaller margin for prunning quiets
  • scale down eval to 1000
  • history extensions only on non pv moves
  • adjust scale formula
  • less reductions in lmp when not improving
  • negative extensions
  • futility pruning improvements
  • implement cutnode
  • new network ign-1-9a48854b created by using prev network (ign-1-3e998e78) and re-trained with a different lambda

Regression run against Igel 3.1.0:

Long Time Control With Increment

ELO   | 43.53 +- 3.13 (95%)
CONF  | 60.0+0.60s Threads=1 Hash=64MB
GAMES | N: 25000 W: 8152 L: 5036 D: 11812

Short Time Control With Increment

ELO   | 41.22 +- 3.25 (95%)
CONF  | 10.0+0.10s Threads=1 Hash=8MB
GAMES | N: 25008 W: 8572 L: 5619 D: 10817

Igel 3.1.0

03 Jun 10:59
211501a

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What's new:

  • Scale eval at 1280
  • More aggressive pruning of quiets when not improving
  • Use 150 cp when razoring
  • Avoid tt cutoff for rule50
  • Improve statistics in SMP mode
  • New network trained using 16B of d5-d8 data from Igel HCE/ign-1-139b702b with d16 validation using ign-1-139b702b

Regression run against Igel 3.0.5:

Long Time Control With Increment

ELO   | 30.13 +- 2.64 (95%)
CONF  | 60.0+0.60s Threads=1 Hash=64MB
GAMES | N: 20000 W: 3906 L: 2176 D: 13918

Short Time Control With Increment

ELO   | 28.08 +- 3.18 (95%)
CONF  | 10.0+0.10s Threads=1 Hash=8MB
GAMES | N: 20000 W: 5193 L: 3580 D: 11227

Igel 3.0.5

28 Apr 00:14
0f3db21

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This version of Igel won League 1 tournament in TCEC Season 21 - https://en.wikipedia.org/wiki/TCEC_Season_21#League_1

What's new:

  • Train a new network using Igel 2.6.0 (HCE), Igel 2.9.0 (NNUE) and Igel 3.0.0 (NNUE) data: ign-1-d593efbd
  • Better time management in sd time control
  • Skip tt cutoff for null moves in search
  • Skip null move prunning on tt hit
  • Vote for best thread in SMP mode
  • Less aggressive time use in non repeated tc

Regression run against Igel 3.0.0:

Long Time Control No Increment

ELO   | 51.95 +- 2.85 (95%)
SPRT  | 60.0+0.0s Threads=1 Hash=64MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 20548 W: 5296 L: 2246 D: 13006

Long Time Control With Increment

ELO   | 40.20 +- 2.74 (95%)
SPRT  | 60.0+0.6s Threads=1 Hash=64MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 20408 W: 4600 L: 2249 D: 13559

Igel 3.0.0

04 Apr 18:56
1f2116f

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What's new:

  • Train a new network using Igel 2.6.0 (HCE) and Igel 2.9.0 (NNUE) data: ign-1-139b702b
  • Remove 'EvalFile' option - as of Igel 3.0.0 the network file is always embedded in the executable
  • Fix in check extensions
  • Use incbin on Linux to inject network file into the binary
  • Tune null move prunning conditions
  • Tune probcut prunning conditions
  • Tune quiets prunning
  • Fix bogus condition for history calculation
  • Implement more aggressive null move prunning
  • Stop extension of captures
  • Prevent explosion of history extensions
  • Implement better time management for sudden death time control
  • Count not played quiets for LMP prunning
  • Remove dummy 100 multiplier for history ordering calculation
  • Fix compilation issues with gcc 10 and Android NDK's Clang
  • Remove unused counter move table
  • Fix out of boundary access for history array
  • Fix issue with singular extensions - reported by ChizhovVadim (author of CounterGo chess engine)
  • Fix crash when 'ucinewgame' command is not issued - reported by Ipmanchess
  • Fix crash when thread position is not initialized - reported by Ipmanchess

Regression run against Igel 2.9.0:

Short Time Control No Increment

ELO   | 115.05 +- 3.88 (95%)
SPRT  | 10.0+0.0s Threads=1 Hash=8MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 20652 W: 9913 L: 3314 D: 7425

Short Time Control With Increment

ELO   | 75.88 +- 3.53 (95%)
SPRT  | 10.0+0.1s Threads=1 Hash=8MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 20904 W: 8061 L: 3567 D: 9276

Long Time Control No Increment

ELO   | 83.16 +- 4.04 (95%)
SPRT  | 60.0+0.0s Threads=1 Hash=64MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 13508 W: 4814 L: 1641 D: 7053

Long Time Control With Increment

ELO   | 58.22 +- 3.81 (95%)
SPRT  | 60.0+0.6s Threads=1 Hash=64MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 13540 W: 4023 L: 1775 D: 7742

Igel 2.9.0

25 Dec 20:44
299c0f5

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What's new:

  • Switch to own network based on Igel search and evaluation (ign-0-9b1937cc)
  • NNUE dynamic eval scaling

Regression run against Igel 2.8.0 at 60s+0.6:

ELO   | 23.78 +- 3.56 (95%)
SPRT  | 60.0+0.6s Threads=1 Hash=64MB
LLR   | 0.00 (-2.94, 2.94) [0.00, 0.00]
Games | N: 16112 W: 4102 L: 3001 D: 9009

Regression run against top engines at tc=all/20s+0.2:

Rank Name                          Elo     +/-   Games   Score   Draws
   0 Igel 2.9.0 64 BMI2 AVX2       -84       7    6000   38.2%   40.8%
   1 Stockfish 12 64-bit           387      25    1000   90.3%   18.3%
   2 Komodo 14 64-bit              122      16    1000   66.9%   46.4%
   3 Ethereal 12.75 64-bit          83      16    1000   61.8%   46.9%
   4 Fire 7.1 64-bit                21      16    1000   53.0%   46.3%
   5 Xiphos 0.6 64-bit               5      16    1000   50.7%   45.0%
   6 Komodo 14 MCTS 64-bit         -13      16    1000   48.2%   41.6%

Igel 2.8.0

23 Sep 21:15
d419f97

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What's new:

  • Fix null move pruning bug (54 elo)
  • Use 250cp as lazy eval threshold
  • Improve time management for sudden death time controls
  • Use Dietrich Kappe's Night Nurse improved net (internal version ninu-0.2.5b.nnue)

Regression run against Igel 2.7.0 at tc=10+0.1:

Score of Igel 2.8.0 64 BMI2 AVX2 vs Igel 2.7.0 64 BMI2 AVX2: 1012 - 411 - 1380  [0.607] 2803
Elo difference: 75.67 +/- 9.15

Regression run against top engines in tc=all/60+0.6:

Rank Name                          Elo     +/-   Games   Score   Draws
   0 Igel 2.8.0 64 BMI2 AVX2        53       6    8000   57.6%   40.7%
   1 Stockfish 11 64-bit           258      26     500   81.5%   33.0%
   2 Komodo 14 64-bit              110      21     500   65.3%   51.8%
   3 Ethereal 12.25 64-bit          36      22     500   55.2%   48.4%
   4 Komodo 14 MCTS 64-bit          15      22     500   52.2%   48.4%
   5 Xiphos 0.6 64-bit               1      22     500   50.1%   48.6%
   6 Fire 7.1 64-bit               -14      22     500   48.0%   47.6%
   7 RofChade 2.202 64-bit         -63      22     500   41.1%   48.2%
   8 Booot 6.4 64-bit              -76      23     500   39.3%   41.8%
   9 Defenchess 2.2 64-bit         -87      24     500   37.7%   39.8%
  10 Laser 1.7 64-bit              -94      24     500   36.8%   41.2%
  11 Fizbo 2 64-bit               -118      24     500   33.7%   41.4%
  12 RubiChess 1.7.3 64-bit       -122      23     500   33.1%   42.6%
  13 Andscacs 0.95 64-bit         -130      25     500   32.1%   35.8%
  14 Gull 3 64-bit                -151      26     500   29.6%   32.8%
  15 Pedone 2.0 64-bit            -186      27     500   25.5%   30.6%
  16 Strelka 5.5 64-bit           -266      33     500   17.8%   18.8%

Regression run against top engines in tc=all/20+0.2:

Rank Name                          Elo     +/-   Games   Score   Draws
   0 Igel 2.8.0 64 BMI2 AVX2      -179       7    6000   26.3%   38.1%
   1 Stockfish 12 64-bit           458      30    1000   93.3%   13.0%
   2 Komodo 14 64-bit              208      17    1000   76.8%   39.7%
   3 Ethereal 12.75 64-bit         173      16    1000   73.0%   42.7%
   4 Fire 7.1 64-bit               130      17    1000   67.8%   41.1%
   5 Xiphos 0.6 64-bit             121      16    1000   66.7%   47.6%
   6 Komodo 14 MCTS 64-bit         103      16    1000   64.3%   44.3%