Brainlearn 20.1 vulkan

[Eduard Nemeth]

Brainlearn 20.1 vulkan (64-bit) with external network:

Filehorst.de

https://filehorst.de/d/egEmqtis

Pixeldrain:

https://pixeldrain.com/u/sURk3hFH

Brainlearn 20.1 vulkan is a modified Brainlearn 20.1 engine. I made this engine, because I want to test the learning ability of Brainlearn/Shashchess. Andrea Manzo, author of Brainlearn said that the learning properties of Brainlearn are better than those of StockfishMZ/Eman. Also, the learning file does not have to be defragmented. Unfortunately, I'm not satisfied with Shashchess/Brainlearn because I don't like the evaluation (sorry Andrea).

Changes from Brainlearn 20.1 vulkan to Brainlearn 20.1:

The search has been modified in a few places.
Scaling/Optimism reset to Stockfish dev.
Pieces values were set proportional to PawnValueMg = 100 (Stockfish dev = 126) for dynamic playing style.
MinimumThinkingTime has been implemented. If you play on the server PlayChess, you should set the value = 100. For offline games the value should stay at 0.

[Slan]

Brainlearn 20.1 vulkan (64-bit) with external network:

Filehorst.de

https://filehorst.de/d/egEmqtis

Pixeldrain:

https://pixeldrain.com/u/sURk3hFH

Brainlearn 20.1 vulkan is a modified Brainlearn 20.1 engine. I made this engine, because I want to test the learning ability of Brainlearn/Shashchess. Andrea Manzo, author of Brainlearn said that the learning properties of Brainlearn are better than those of StockfishMZ/Eman. Also, the learning file does not have to be defragmented. Unfortunately, I'm not satisfied with Shashchess/Brainlearn because I don't like the evaluation (sorry Andrea).

Changes from Brainlearn 20.1 vulkan to Brainlearn 20.1:

The search has been modified in a few places.
Scaling/Optimism reset to Stockfish dev.
Pieces values were set proportional to PawnValueMg = 100 (Stockfish dev = 126) for dynamic playing style.
MinimumThinkingTime has been implemented. If you play on the server PlayChess, you should set the value = 100. For offline games the value should stay at 0.

Hello Eduard Nemeth,
Do you release this engine on android version?
Thank you

[superbatil]

Where can I find the experience.bin that produced by brainlearn on android?

[superbatil]

Brainlearn 20.1 vulkan (64-bit) with external network:

Filehorst.de

https://filehorst.de/d/egEmqtis

Pixeldrain:

https://pixeldrain.com/u/sURk3hFH

Brainlearn 20.1 vulkan is a modified Brainlearn 20.1 engine. I made this engine, because I want to test the learning ability of Brainlearn/Shashchess. Andrea Manzo, author of Brainlearn said that the learning properties of Brainlearn are better than those of StockfishMZ/Eman. Also, the learning file does not have to be defragmented. Unfortunately, I'm not satisfied with Shashchess/Brainlearn because I don't like the evaluation (sorry Andrea).

Changes from Brainlearn 20.1 vulkan to Brainlearn 20.1:

The search has been modified in a few places.
Scaling/Optimism reset to Stockfish dev.
Pieces values were set proportional to PawnValueMg = 100 (Stockfish dev = 126) for dynamic playing style.
MinimumThinkingTime has been implemented. If you play on the server PlayChess, you should set the value = 100. For offline games the value should stay at 0.

Hello Eduard Nemeth,
Do you release this engine on android version?
Thank you

Android armv8

Code: Select all

 https://drive.google.com/file/d/15xevyw4OLvNUpLR7YO0n04Ch03xuMkIt/view?usp=drivesdk
 

[superbatil]

Brainlearn 20.1 vulkan (64-bit) with external network:

Filehorst.de

https://filehorst.de/d/egEmqtis

Pixeldrain:

https://pixeldrain.com/u/sURk3hFH

Brainlearn 20.1 vulkan is a modified Brainlearn 20.1 engine. I made this engine, because I want to test the learning ability of Brainlearn/Shashchess. Andrea Manzo, author of Brainlearn said that the learning properties of Brainlearn are better than those of StockfishMZ/Eman. Also, the learning file does not have to be defragmented. Unfortunately, I'm not satisfied with Shashchess/Brainlearn because I don't like the evaluation (sorry Andrea).

Changes from Brainlearn 20.1 vulkan to Brainlearn 20.1:

The search has been modified in a few places.
Scaling/Optimism reset to Stockfish dev.
Pieces values were set proportional to PawnValueMg = 100 (Stockfish dev = 126) for dynamic playing style.
MinimumThinkingTime has been implemented. If you play on the server PlayChess, you should set the value = 100. For offline games the value should stay at 0.

Hello Eduard Nemeth,
Do you release this engine on android version?
Thank you

Android armv8

Code: Select all

 https://drive.google.com/file/d/15xevyw4OLvNUpLR7YO0n04Ch03xuMkIt/view?usp=drivesdk
 

Brainlearn + livebook
armv8 only

Code: Select all

https://drive.google.com/file/d/16FmaoOvqZFaITS0z9HoGgXv-HH5FXIc2/view?usp=drivesdk