ELO value of TTSE?

[silentshark]

Hello all,

Many strong engines seem to use the restricted version of singular extensions, just extending the move from the hash table in certain circumstances.

To engine authors - what ELO increase do you see when using this?

(Context - I'm going to look again, but experiments a few weeks ago showed that my engine gets nothing at all from these kinds of extensions. It might be sub-optimal coding, so I will revisit. Just wondering what a really good TTSe implementation gives. 20 ELO? 50 ELO?).

All the best,
Tom

[elcabesa]

stockfish authors report directly in their code an elo gain of ~60 Elo

[jstanback]

I've never been able to get any gain from singular extension so I don't use it in Wasp. I must not be implementing it correctly or it doesn't play nicely with my extensions and reductions.

John

[Fabio Gobbato]

The elo increase given by singular extension is different from engine to engine. In my engine it gives about 10-20 elo after a lot of tries to find the best formula for the depth of the search to find if the move is singular. Stockfish uses depth/2 but in my engine was not optimal.

[jonkr]

I ran a quick test (500 games at 2min + 1sec) and got +36 elo for singular extensions.

SlowChessBlitzClassic1.8 vs SlowChessBlitzClassic1.8 (no Singular Extensions)
111w - 59l - 330d (+36 Elo)

Not enough games to be that accurate, but I didn't want to use super quick time control since there is a min depth before using tt singular extensions (and my search depths are low compared to other modern engines.)

Also the way my extensions work is at >= kSingularDepth the search extends by 1 for singular extension, and < kSingularDepth it extends by 1 for the check extension, so for this test I fully enabled check extensions for the no singular Ext version. (Everything else like mate threats, or various hard-coded tactical moves, is no lmr or reduced lmr instead of extension.)

[bob]

A couple of thoughts.

(1) I tried 'em. I did the full-blown HSU SE approach. I found no Elo gain, although I must admit that the tests were in fairly fast games. But for me, nothing. When talking with Hsu and Murray Campbell, they both said that their original estimate of Elo gain was significantly off, and that it was much more modest than originally thought.

(2) There are two ways to "extend" moves. You can either (a) extend just that move or (b) reduce the depth of all the other moves. Both produce the same result once you think about. I'm convinced we have pushed so hard on all the pruning stuff from LMR to LMP to null move to whatever, that the gain from SE might not be what one would expect when applying it to a traditional basic alpha/beta searcher. Remember, Deep Thought / Deep Blue were pretty rudimentary even by the standards of chess programs when they were active. They were just VERY fast. And speed is always a good replacement for cleverness. Had they used null move, who knows how their SE would have faired. Had they used other things like LMR and such, again, how would that have changed their SE results? In reality we know little about what to expect. I saved my SE code to play with again, but it was so complicated I could not rationally leave it in the search for no significant gain and the potential for bugs as the code gets modified over the years...

YMMV of course. I never liked the idea of TTSE. Just seemed wrong to extend based on hash information that might disappear on a re-search or on the next iteration...