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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. The default mode, conversely, is stronger than Stockfish in a match play, but not as good as MCTS for the rest and can't improve its play because of no learning enabled. Example: http://grabilla.com/09314-d9bf8215-e...3b72ffb9ad.png Dynamic Strategy To be used as additional support in the analysis of particularly complex positions. With the increase of the score, that is how much the motor is in advantage or fundamentally closer to the checkmate. Or In all favorable pressing situations; The advanced Pawns are penalized and the King gains more importance because we must pay attention to the compactness and the other way around. Regards Marco |
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Thanks for your explanations. I know you have seen SugaR entered in some International Correspondence tournaments. What feedback are you receiving from the people who are using it? Best regards Nick |
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Hi Marco
welcome in this forum. By the way: I use Sugar for about 1 year now in correspondence chess together with ASMFish, Stockfish and Komodo. As soon as I have a good GPU Leela will join too. Are yu also a correspondence player (because of your article in the ASIGC). Maybe we have met at ICCF. Greetings Hartmut |
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Regards Marco |
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Best regards Nick |
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I joined the ICCF only 8 months ago. I hope to make a good tournament here: GER/CCM-E/03-C, Germany CCM/CCE 03 C Regards Marco |
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