Initial results of implementing magic bitboards adds around 100npsamanjpro wrote: ↑Wed Mar 24, 2021 11:11 pmI mean, when I introduce a bug in Zahak, Rustic catches it fast. As it doesn't have much pruning, it is strong tactically and good at catching my stupidities.
I highly doubt it is because of the PSTs, after all PST only teaches the AI where to put pieces, not what to do with them. Rustic is good, because it does close to no pruning. Some tactical strength fades away when you introduce lots of pruning/reductions. It is a balance that is not super easy to find.mvanthoor wrote: ↑Wed Mar 24, 2021 3:54 pm
I have noticed that Rustic is tactically stronger than most engines in its rating range; probably because it is faster, and can often see 1-2 ply deeper. It has a simple evaluation, but as I'm an OK chess player myself, I think my PST's are better than the general PST's floating around on the internet; so even though the evaluation is simple, it is not entirely stupid. The PST's do include some positional and strategical knowledge, to some extent. Tuning will make this better, probably.
I looked into Rustic and compared it feature wise to Zahak, while I have way more search functions, I don't have multi-stage move generations and magic bitboards, that puts Zahak at a huge disadvantage. I wrote the entire move generation first, then read the literature, my stupidity. Also, Go vs Rust is a huge advantage for Rustic too.mvanthoor wrote: ↑Wed Mar 24, 2021 3:54 pm
As said, Rustic isn't really simple per se, but it also doesn't have a lot of features yet. What I do know, is that the features it does have are (probably) bug-free. While testing the version with the TT, it did gain 105 Elo, but I wasn't satisfied because I thought, according to tests with other engines, the gain should be bigger; and in the end I found a bug (saving the wrong move in the TT in the beta-cutoff) that, after fixing it, gained another 60 Elo.
It is very easy to add a feature in the engine, see that it gains 50 Elo, and call it done... while the feature _could_ have gained 75 or 100 Elo. Do that a few times, and your engine will become stronger, but not as strong as it could have been. If you're particularly unlucky, a feature, if it has a serious bug, could even make the engine weaker.
I tuned the eval function almost 100% from scratch, I picked PTSQ from somewhere, but touched it heavily that it doesn't resemble the original anymore. I wanted the engine to play more or less like me
New engine releases & news 2021
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Re: New engine releases & news 2021
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Re: New engine releases & news 2021
Bit-Genie 2 released
https://github.com/Aryan1508/Bit-Genie
New SF dev(s) released yesterday
https://abrok.eu/stockfish/
https://github.com/Aryan1508/Bit-Genie
New SF dev(s) released yesterday
https://abrok.eu/stockfish/
https://rwbc-chess.de
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Re: New engine releases & news 2021
Hi there,
1. Last Demolito version is from March 29th, 2021
https://ci.appveyor.com/project/lucasar ... /artifacts
2. Gogobello 3.0
http://sasachess.altervista.org/gogobello/index.html
gogobello 3.0: (NNUE Revolution)
Status: released in April 2021
* - Pure NNUE Evaluation
* - Neural Network included in the binary
Best
Frank
1. Last Demolito version is from March 29th, 2021
https://ci.appveyor.com/project/lucasar ... /artifacts
2. Gogobello 3.0
http://sasachess.altervista.org/gogobello/index.html
gogobello 3.0: (NNUE Revolution)
Status: released in April 2021
* - Pure NNUE Evaluation
* - Neural Network included in the binary
Best
Frank
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Re: New engine releases & news 2021
Note that Gogobello has removed all HCE in this version and only uses the current SF NNUE, so it will not appear in my chronologyFrank Quisinsky wrote: ↑Fri Apr 02, 2021 4:29 pm Hi there,
1. Last Demolito version is from March 29th, 2021
https://ci.appveyor.com/project/lucasar ... /artifacts
2. Gogobello 3.0
http://sasachess.altervista.org/gogobello/index.html
gogobello 3.0: (NNUE Revolution)
Status: released in April 2021
* - Pure NNUE Evaluation
* - Neural Network included in the binary
Best
Frank
and that was the reason it wasn't mentioned.
May be it is an aprils fool, who knows. (The embedded NNUE doesn't work anyway and one must download the file from SF)
'Real' releases were:
Berserk 3.2.1
https://github.com/jhonnold/berserk
GreKo-PSQ 1.0 (experimental version)
http://greko.su/index_en.html
FoxSEE 6.3.1 and 6.3.2
https://github.com/redsalmon91/FoxSEE/releases
https://rwbc-chess.de
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Re: New engine releases & news 2021
New LcFiSh Neural Network has been released. It is based on Leela T60 training.
You can read about it here:
http://lczero.org/blog/2021/04/jumping- ... bandwagon/
Binaries can be found here:
https://github.com/borg323/lc0/releases/tag/lcfish
You can read about it here:
http://lczero.org/blog/2021/04/jumping- ... bandwagon/
Binaries can be found here:
https://github.com/borg323/lc0/releases/tag/lcfish
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Re: New engine releases & news 2021
sounds likeNoChessNoLife wrote: ↑Fri Apr 02, 2021 7:30 pm New LcFiSh Neural Network has been released. It is based on Leela T60 training.
You can read about it here:
http://lczero.org/blog/2021/04/jumping- ... bandwagon/
Binaries can be found here:
https://github.com/borg323/lc0/releases/tag/lcfish
Code: Select all
2021-04-01
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Re: New engine releases & news 2021
For anyone interested, I have put a Megalodon 0.3.2 64-bit compile for Windows here:
I expect it to run on any 64-bit hardware.
I expect it to run on any 64-bit hardware.
Gabor Szots
CCRL testing group
CCRL testing group
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Re: New engine releases & news 2021
I have added of course two compilations too a few days ago. (see chronology)Gabor Szots wrote: ↑Sat Apr 03, 2021 11:29 am For anyone interested, I have put a Megalodon 0.3.2 64-bit compile for Windows here:
I expect it to run on any 64-bit hardware.
0.3.2 can still make illegal moves from time to time though...and it has a stalemate bug.
https://rwbc-chess.de
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Re: New engine releases & news 2021
OK, I'm not going to pester any more.
Gabor Szots
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