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Closed Pano magka elo rating

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Boss GRANDMASTER mukhang wala pa yatang interisado sa chess pc softwares dito he he. Naintindihan ko rin at kahit nga dekada ng mga known methods sa computerchess ay tinatanong pa rin sa mga forums ng balikan ko. Advanced na talaga ngayon kung tutuusin at halos perfect play na rin ang mga available chess AI sa chess analysis - online or offline. Ang kailangan lang ay the right tool/s.
Binabalikan ko pa lang yung dati kong naiwang mga chess projects para manumbalik ulit yung pagkahilig ko na related sa opening books ng engines (or maaari din para sa tao).
Dalaw na lang ako kung merong ma-update. Thanks.
mayroon naman na mahilig sa chess engine,kaso sira na laptop ko kaya tablet gamit ko now,interesado ako doon sa clone ni alphazero,
 
mayroon naman na mahilig sa chess engine,kaso sira na laptop ko kaya tablet gamit ko now,interesado ako doon sa clone ni alphazero,
Malakas nga sumira ng laptop yan dahil sa cpu usage. Sa CCRL testing lang, 24/7 ang mga pc ko noon at parating 100% cpu usage kay kalaunan ay bumigay na rin kahit may electric fans pa at aircon he he. Grabe pa yung costs sa electric bills.
Kung alphazero ang hilig mong subukan at hindi ka naman programmer, pagbalingan mo yang lc0 (ported by Gary Linscott na Leela Zero Go engine ) sa github o doon sa binanggit ko sa taas bosing, dahil yan yung closest clone nya sa pagkaalam ko at compatible din sa online/offline use sa pc atbp. devices. Copy+paste lang sa mga compatible chess interfaces o GUI.

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Pero kung gagamitin mo yung lc0 for pc ay di hamak na mahina yon sa Stockfish for pc. Dapat yung GPU version (specifically yung may CUDA) ang gamitin mo kung may hardware ka at compatible tensorflow driver nila.
Promising project yan sa mga may available na GPU hardware for optimal use, pero kung hindi GPU version, stick to the strongest engine designed for that platform - which is Stockfish and its forks.
 
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Malakas nga sumira ng laptop yan dahil sa cpu usage. Sa CCRL testing lang, 24/7 ang mga pc ko noon at parating 100% cpu usage kay kalaunan ay bumigay na rin kahit may electric fans pa at aircon he he. Grabe pa yung costs sa electric bills.
Kung alphazero ang hilig mong subukan at hindi ka naman programmer, pagbalingan mo yang lc0 (ported by Gary Linscott na Leela Zero Go engine ) sa github o doon sa binanggit ko sa taas bosing, dahil yan yung closest clone nya sa pagkaalam ko at compatible din sa online/offline use sa pc atbp. devices. Copy+paste lang sa mga compatible chess interfaces o GUI.

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Pero kung gagamitin mo yung lc0 for pc ay di hamak na mahina yon sa Stockfish for pc. Dapat yung GPU version (specifically yung may CUDA) ang gamitin mo kung may hardware ka at compatible tensorflow driver nila.
Promising project yan sa mga may available na GPU hardware for optimal use, pero kung hindi GPU version, stick to the strongest engine designed for that platform - which is Stockfish and its forks.
Salamat sa advice bro...,malaking tulong itong guide na sinulat mo.salamat
 
Sa mga players dyan na naghahanap ng winning lines (repertoire to increase elo rating) gamit ang malakas na chess engine for analysis like Stockfish, bigyan ko kayo ng hint. Check this one of a kind chess champions book tournament using the player games as opening book. all informations are on the link.
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Latest Update:08.10.2018

The Champion: You do not have permission to view the full content of this post. Log in or register now. - Congrats to Boris Gelfand!
# PLAYER : RATING POINTS GAMES (%)
1 Gelfand : 3461.1 310.0 560 55.4%
2 Almasi : 3458.0 286.0 520 55.0%
3 Hao Wang : 3450.3 296.0 550 53.8%
4 Karjakin : 3447.8 294.5 550 53.5%
5 Vidit : 3447.4 278.5 520 53.6%
6 Vitiugov : 3447.0 295.5 550 53.7%
7 Gurevich : 3439.6 158.0 300 52.7%
8 Harikrishna : 3439.2 292.5 560 52.2%
9 Artemiev : 3439.2 277.5 530 52.4%
10 Bacrot : 3438.7 288.5 550 52.5%
11 Wesley So : 3438.6 286.5 550 52.1%
12 Dominguez : 3436.9 303.5 580 52.3%
13 Yangyi Yu : 3436.0 274.0 520 52.7%
14 Navara : 3434.9 259.5 500 51.9%
15 Leko : 3434.3 272.0 530 51.3%
16 Giri : 3434.1 272.5 530 51.4%
17 Kasparov : 3433.4 272.0 530 51.3%
18 Tomashevsky : 3432.0 281.5 550 51.2%
19 Petrosian : 3431.6 150.5 300 50.2%
20 Taimanov : 3430.4 150.0 300 50.0%
21 Nepomniachtchi : 3429.5 269.0 530 50.8%
22 Jakovenko : 3429.0 268.0 530 50.6%
23 Ponomariov : 3428.3 256.0 500 51.2%
24 Quang Le : 3428.0 211.0 420 50.2%
25 Gashimov : 3427.1 294.5 580 50.8%
26 Radjabov : 3426.4 205.0 410 50.0%
27 Morozevich : 3426.0 226.5 440 51.5%
28 Adams : 3425.1 210.0 410 51.2%
29 Kramnik : 3423.4 214.5 430 49.9%
30 Salov : 3423.2 220.0 430 51.2%
31 Karpov : 3423.1 209.0 410 51.0%
32 Shirov : 3422.0 202.5 410 49.4%
33 Cheparinov : 3421.5 208.0 420 49.5%
34 Carlsen : 3421.3 202.0 410 49.3%
35 Reshevsky : 3421.2 146.0 300 48.7%
36 Hou Yifan : 3421.2 146.0 300 48.7%
37 Khalifman : 3420.7 215.0 420 51.2%
38 Grischuk : 3420.1 207.5 420 49.4%
39 Eljanov : 3419.4 208.5 410 50.9%
40 V.Onischuk : 3419.0 213.0 420 50.7%
41 Ivanchuk : 3418.9 255.0 510 50.0%
42 Bareev : 3418.5 207.0 410 50.5%
43 Bronstein : 3417.7 144.5 300 48.2%
44 Caruana : 3417.4 213.0 420 50.7%
45 Kasimdzhanov : 3417.4 214.5 440 48.8%
46 Wei : 3416.5 204.5 410 49.9%
47 Nakamura : 3416.3 206.0 420 49.0%
48 Topalov : 3416.2 212.0 420 50.5%
49 Fedoseev : 3415.6 205.5 420 48.9%
50 Yue Wang : 3415.0 204.0 410 49.8%
51 Duda : 3414.8 203.5 410 49.6%
52 Wojtaszek : 3413.9 203.0 410 49.5%
53 Bogolyubov : 3413.1 142.5 300 47.5%
54 Ding : 3411.6 209.5 420 49.9%
55 Xiangzhi Bu : 3411.4 201.5 410 49.1%
56 Korchnoi : 3410.7 208.0 420 49.5%
57 Andreikin : 3410.0 202.0 410 49.3%
58 Anand : 3409.8 203.5 410 49.6%
59 Spassky : 3408.5 212.5 430 49.4%
60 Vachier-Lagrave : 3407.7 200.0 420 47.6%
61 Svidler : 3407.6 199.5 410 48.7%
62 Chigorin : 3407.3 140.0 300 46.7%
63 Nigel Short : 3407.3 140.0 300 46.7%
64 Kamsky : 3407.1 210.0 430 48.8%
65 Euwe : 3406.6 200.5 410 48.9%
66 Keres : 3405.2 201.0 410 49.0%
67 Smyslov : 3405.0 210.0 430 48.8%
68 Aronian : 3404.7 200.5 410 48.9%
69 Tal : 3404.4 205.5 420 48.9%
70 Vallejo : 3404.2 148.0 310 47.7%
71 J.Polgar : 3403.0 196.0 410 47.8%
72 Dubov : 3401.8 159.0 330 48.2%
73 Lasker : 3401.4 198.5 410 48.4%
74 Tarrasch : 3401.4 203.0 420 48.3%
75 Rapport : 3400.1 158.5 330 48.0%
76 No Book : 3400.0 202.5 420 48.2%
77 Morphy : 3399.5 192.0 400 48.0%
78 Capablanca : 3399.1 201.0 420 47.9%
79 Mamedyarov : 3396.7 205.5 430 47.8%
80 Botvinnik : 3393.8 194.0 410 47.3%
81 Nimzowitsch : 3393.4 134.0 300 44.7%
82 Alekhine : 3389.5 191.5 410 46.7%
83 Steinitz : 3380.6 128.5 300 42.8%
84 Fischer : 3371.0 176.0 400 44.0%
85 Marshall : 3365.2 182.0 420 43.3%
Pag-isipan ninyo. If Gelfand had the brains of Stockfish using his lines, he could've been the greatest grandmaster, di po ba - IF nga lang he he. Kung ako yung mag-analyze base lang sa results dito, technically, I can conclude that Fischer had the best chess anlaysis during his time (against his counterparts) considering that his lines are weaker than most. Kung labanan nya si Wesley So ngayon sa timeline niya noon, "baka" talunin pa siya ng pinoy pride natin dahil mas matatag yung kanyang lines kaysa kay B. Fischer - scientifically speaking.

Kaya ko po sinasabi ito dahil ang opening book po ay ang unang pambato ng player (computer or human) bago mag-umpisa yung analysis ng brains or AI. Isa yan sa nagpapataas ng ratings especially sa open tournaments. Sa engine vs. engine tournaments, dyan minsan nagkakaroon ng advantage yung ibang contestants sa aking experience. siyempre, sa middle game and onwards, sa speed at perfect algorithm na nga magkakatalo yan.

I'm not really sure kung conclusive ito, pero magandang ipagpatuloy since it has some sense in it.
Godd luck po.

Sa panahon ngayon, malaki ang tulong ng chess AI development in order to come up with new strategies to analyze human chess games - past and present.
 

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