chessgod101
Please login to view all of the forum content.

S_MCTSL 220319 32-64

Go down

S_MCTSL 220319 32-64 Empty S_MCTSL 220319 32-64

Post  naahira on Fri Mar 22, 2019 3:07 pm

S_MCTSL 220319 32-64:-

Additions
### MCTS-Learn-in Mode
_Boolean, Default: True

MonteCarloTreeSearch, if activated, the engine's behaviour is similar to AlphaZero concepts.
Idea are implemented, integrated on SugaR:

https://github.com/Kellykinyama12/Stockfish (montecarlo by Kelly Kinyama) only when true. This creates three files for machine learning purposes:
### -experience.bin
When no more than 40 moves are played, there are non more than 6 pieces on the chessboard and at a not low depth in analysis
### -pawngame.bin
When there are no more than 2 pieces and the game's phase is not the ending
### -openings.bin
In the form .bin (>=1) at the initial stage of game with memorized the move played, the depth and the score.
In this mode, the engine is not less strong than Stockfish in a match play without learning, but a lot better in analysis mode and to solve hard positions.
With learning, the engine became stronger and stronger.
MCTS-Learn-in Mode

Code:
"From Kelly kinyama
The engine learns from experience. It writes the moves it plays to the hard disk. In the next game, it uses the same information if it encounters the same position, the same way we use the transposition table. It saves the information permanently on the hard drive, And loads information in memory during play.
With the decision tree, it plays more accurately and evaluates the positions more correctly.

Notes:
-For this method to work, you must always restart the engine for each and every game.
-Games should be started from the start position.
-Those binary files represent opening variations. We humans give names to the variations. My engine is giving them numbers. So it always knows which file to load in memory.
-The engine is constantly updating the files each time it plays."

https://github.com/Zerbinati/SugaR/commit/cc08a49412fb46e6445624ce3d2bec682c4d2c5d
The engine learns from experience for default.

master
@Zerbinati
Zerbinati committed

Source code
https://github.com/Zerbinati/SugaR

Deletions
---
playoutSimpleAlways
https://github.com/official-stockfish/S ... mpleAlways
Special thank to amchess for hint
Instructions:
Download the Learning BIN Pack
https://github.com/Zerbinati/SugaR/blob ... earning.7z
- Unzip the archive
- Copy SugaR to the same folder and install it
All future versions of "S_MCTSL" or subsequent SugaR Officials can be installed in the same folder containing the BIN Learning files
"With learning, the engine gets stronger and stronger."

Download Here
Bench: 2946428

naahira

Posts : 375
Points : 827
Reputation : 274
Join date : 2012-08-04

View user profile

Back to top Go down

Back to top


 
Permissions in this forum:
You cannot reply to topics in this forum