Commit Graph
22 Commits
Author SHA1 Message Date
Stefano CardanobileandStéphane Nicolet 450f04969c Using a S-curve for the optimism measure
Add a logarithmic term in the optimism computation, increase
the maximal optimism and lower the contempt offset.

This increases the dynamics of the optimism aspects, giving
a boost for balanced positions without skewing too much on
unbalanced positions (but this version will enter panic mode
faster than previous master when behind, trying to draw faster
when slightly behind). This helps, since optimism is in general
a good thing, for instance at LTC, but too high optimism
rapidly contaminates play.

passed STC:
LLR: 2.96 (-2.94,2.94) [0.00,5.00]
Total: 159343 W: 34489 L: 33588 D: 91266
http://tests.stockfishchess.org/tests/view/5a8db9340ebc590297cc85b6

passed LTC:
LLR: 2.97 (-2.94,2.94) [0.00,5.00]
Total: 47491 W: 7825 L: 7517 D: 32149
http://tests.stockfishchess.org/tests/view/5a9456a80ebc590297cc8a89

It must be mentioned that a version of the PR with contempt 0
did not pass STC [0,5]. The version in the patch, which uses
default contempt 12, was found to be as strong as current master
on different matches against SF7 and SF8, both at STC and LTC.

One drawback maybe is that it raises the draw rate in self-play
from 56% to 59%, giving a little bit less sensitivity for SF
developpers to find evaluation improvements by selfplay tests
in fishtest.

Possible further work:

• tune the values accurately, while keeping in mind the drawrate issue
• check whether it is possible to remove linear and offset term
• try to simplify the S-shape curve

Bench: 5934644
2018-03-04 16:55:58 +01:00
Stefano CardanobileandStéphane Nicolet cb1324312d Introduce dynamic contempt
Make contempt dependent on the current score of the root position.

The idea is that we now use a linear formula like the following to decide
on the contempt to use during a search :

    contempt = x + y * eval

where x is the base contempt set by the user in the "Contempt" UCI option,
and y * eval is the dynamic part which adapts itself to the estimation of
the evaluation of the root position returned by the search. In this patch,
we use x = 18 centipawns by default, and the y * eval correction can go
from -20 centipawns if the root eval is less than -2.0 pawns, up to +20
centipawns when the root eval is more than 2.0 pawns.

To summarize, the new contempt goes from -0.02 to 0.38 pawns, depending if
Stockfish is losing or winning, with an average value of 0.18 pawns by default.

STC:
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 110052 W: 24614 L: 23938 D: 61500
http://tests.stockfishchess.org/tests/view/5a72e6020ebc590f2c86ea20

LTC:
LLR: 2.97 (-2.94,2.94) [0.00,5.00]
Total: 16470 W: 2896 L: 2705 D: 10869
http://tests.stockfishchess.org/tests/view/5a76c5b90ebc5902971a9830

A second match at LTC was organised against the current master:

ELO: 1.45 +-2.9 (95%) LOS: 84.0%
Total: 19369 W: 3350 L: 3269 D: 12750
http://tests.stockfishchess.org/tests/view/5a7acf980ebc5902971a9a2e

Finally, we checked that there is no apparent problem with multithreading,
despite the fact that some threads might have a slightly different contempt
level that the main thread.

Match of this version against master, both using 5 threads, time control 30+0.3:
ELO: 2.18 +-3.2 (95%) LOS: 90.8%
Total: 14840 W: 2502 L: 2409 D: 9929
http://tests.stockfishchess.org/tests/view/5a7bf3e80ebc5902971a9aa2

Include suggestions from Marco Costalba, Aram Tumanian, Ronald de Man, etc.

Bench: 5207156
2018-02-09 19:07:19 +01:00
Stefano CardanobileandMarco Costalba c769d4df84 Fix comments. Bench: 5109559. 2017-11-18 14:08:06 +01:00
Stefano CardanobileandJoona Kiiski d4b9ee0f1d Update Readme.md
Update number of threads.

Closes #1072
2017-04-17 10:38:37 -07:00
Stefano80andJoona Kiiski 06175c6055 Remove cap from space score contribution and increase bonus
STC
LLR: 2.96 (-2.94,2.94) [-3.00,1.00]
Total: 58462 W: 10615 L: 10558 D: 37289

LTC
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 65061 W: 8539 L: 8477 D: 48045

It is worth noting that an attempt to only increase the bonus passed STC but failed LTC, and
an attempt to remove the cap without increasing the bonus is still running at STC, but will probably fail after more than 100k.

Bench: 6188591

Closes #1063
2017-04-17 09:19:36 -07:00
Stefano80andJoona Kiiski b258b4fee7 Remove minimum to contribution from king danger to score.
STC
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 24858 W: 4559 L: 4445 D: 15854

LTC
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 40789 W: 5338 L: 5244 D: 30207

Bench: 7027489

Closes #1059
2017-04-09 07:48:58 -07:00
Stefano80andJoona Kiiski 5205d44f87 Simplify scale factor computation
Minor non-functional simplifications in computing the scale factor.

In my opinion, the code is now slightly more readable:

- remove one condition which can never be satisfied.
- immediately return instead of assigning the sf variable.

Tested for non-regression:

LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 62162 W: 11166 L: 11115 D: 39881

No functional change

Closes #992
2017-02-05 16:06:37 -08:00
Stefano CardanobileandMarco Costalba de02768af7 Introduce lazy evaluation
After we have taken into account all cheap evaluation
terms, we check whether the score exceeds a given threshold.
If this is the case, we return a scaled down evaluation.

STC:
LLR: 3.35 (-2.94,2.94) [0.00,5.00]
Total: 12575 W: 2316 L: 2122 D: 8137

LTC:
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 67480 W: 9016 L: 8677 D: 49787

Current version is the one rewritten by ceebo
further edited by me.

Bench: 5367704
2017-01-13 09:17:48 +01:00
Stefano CardanobileandMarco Costalba f72b7dc99a piecesCount (#932)
All counts in search.cpp are of the form xxxCount. Conform piecesCnt to this unwritten rule.

No functional change.
2016-12-20 11:18:19 +01:00
Stefano CardanobileandMarco Costalba 0162fb83c2 Retire implicit malus for stonewalls
STC:
LLR: 2.96 (-2.94,2.94) [-3.00,1.00]
Total: 75864 W: 13466 L: 13437 D: 48961

LTC:
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 99050 W: 12472 L: 12451 D: 74127

bench: 6098474
2016-10-05 09:32:08 +02:00
Stefano CardanobileandMarco Costalba 4c95edddbf Reorder evaluation start
In evaluate, we start by initializing the pos.psq_score
and adding the material imbalance. After that, we check
whether a specialized eval exists and if yes we return
that value and discard whatever we have computed until now.

It sounds more logical to first probe material entry and
return if we have a specialized eval, and only if it is
not the case initialize eval with some values. There is
no measurable speed-difference on my computer.

Non functional change.
2016-09-11 07:42:12 +02:00
Stefano80andMarco Costalba 7f2eb10e93 Retire linear imbalance
Retire linear imbalance and compensate
in piece values enumeration.

STC:
LLR: 2.96 (-2.94,2.94) [-3.00,1.00]
Total: 43596 W: 8105 L: 8023 D: 27468

LTC:
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 24482 W: 3352 L: 3237 D: 17893

Bench: 7777707
2016-09-02 08:25:17 +02:00
Stefano80andMarco Costalba 9585f8ef58 Retire pawn span
Retire pawn span and replace with pawn count in evaluate_scale_factor.

STC:
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 26482 W: 4929 L: 4818 D: 16735

LTC:
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 61938 W: 8400 L: 8335 D: 45203

Bench: 7662861
2016-08-18 10:16:56 +02:00
Stefano80andMarco Costalba 714329dbdc See prune at higher depth
Allow SEE pruning at higher depths in shallow depth
pruning using a threshold increasing with depth.

STC
LLR: 2.96 (-2.94,2.94) [0.00,5.00]
Total: 35366 W: 7011 L: 6724 D: 21631

LTC
LLR: 2.97 (-2.94,2.94) [0.00,5.00]
Total: 15578 W: 2243 L: 2070 D: 11265

Bench: 8417887
2016-07-24 08:55:58 +02:00
Stefano80andJoona Kiiski 74e2fa97b7 Adjust reductions based on history and cmh tables
STC:
LLR: 4.06 (-2.94,2.94) [0.00,5.00]
Total: 149395 W: 28029 L: 27208 D: 94158

LTC:
LLR: 2.96 (-2.94,2.94) [0.00,5.00]
Total: 9628 W: 1368 L: 1217 D: 7043

bench: 8076724

Resolves #565
2016-01-13 16:18:35 +00:00
Stefano80andJoona Kiiski dcd8ce7094 Update comments in LMR step
No functional change

Resolves #564
2016-01-13 16:03:53 +00:00
Stefano80andJoona Kiiski 3428a28751 KRPPKRP endgame: Simplify ugly switch statement
No functional change

Resolves #470
2015-10-24 23:17:08 +01:00
Stefano80andGary Linscott 328d314f2f Almost passed tuning attempts
Collect and give a second try to some almost passed tuning attempts and
one-line tweaks from the last month.

Passed STC

LLR: 3.07 (-2.94,2.94) [0.00,4.00]
Total: 15124 W: 2974 L: 2756 D: 9394

And LTC

LLR: 2.95 (-2.94,2.94) [0.00,4.00]
Total: 21577 W: 3507 L: 3289 D: 14781

Bench: 8855226

Resolves #464
2015-10-20 19:49:01 -07:00
Stefano80andGary Linscott 436c303731 Tuning of assorted values
Passed STC

LLR: 2.96 (-2.94,2.94) [0.00,4.00]
Total: 45401 W: 8590 L: 8274 D: 28537

Passed LTC

LLR: 2.96 (-2.94,2.94) [0.00,4.00]
Total: 36089 W: 5589 L: 5331 D: 25169

Bench: 8397672

Resolves #445
2015-10-05 19:49:52 -07:00
Stefano80andGary Linscott 59f64fda4f Improve ordering of good captures using rank term
Rank based term improved approximation of pos.see() for scoring good
captures.

STC
LLR: 2.95 (-2.94,2.94) [-1.50,4.50]
Total: 4632 W: 945 L: 827 D: 2860

LTC
LLR: 2.95 (-2.94,2.94) [0.00,6.00]
Total: 25770 W: 4184 L: 3964 D: 17622

Bench: 7593704

Resolves #342
2015-05-03 10:19:34 -07:00
Stefano80andJoona Kiiski cc54a91ca5 Replace MVV/LVA by MVV for good captures
Passed STC

LLR: 3.71 (-2.94,2.94) [-3.00,1.00]
Total: 64363 W: 12299 L: 12214 D: 39850

and LTC

LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 69976 W: 11056 L: 11011 D: 47909

Bench: 8012532

Resolves #340
2015-04-28 22:07:48 +01:00
Stefano80andJoona Kiiski 17bcdb9212 Higher movetime resolution for benchmarks
Use a millisecond movetime precision for benchmarks

No functional change

Resolves #198
2015-01-11 20:07:11 +00:00