Leela ID 32591 exceptionally promising | A stunningly beautiful Queen Sacrifice against Stockfish

Рет қаралды 9,761

5 жыл бұрын

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[Event "Pawel Powet Tournament"]
[Site "Pawel Powet PC"]
[Date "2019.1.15"]
[Round "5"]
[White "Stockfish_10_x64"]
[Black "Lc0-32591\[11050elo\"]
[Result "0-1"]
[ECO "A36"]
[WhiteElo "-"]
[BlackElo "-"]
[MastersGameID "5024141"]
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Game quality tags: amazing, awesome, astonishing, brilliant, classic, crushing, dynamic, elegant, exceptional, excellent, exciting, fabulous, famous, fantastic, finest, flashy, greatest, important, impressive, incredible, instructive, interesting, magnificent, marvellous.
Info about Leela Zero:
en.wikipedia.org/wiki/Leela_Zero
...
Leela Chess Zero (lc0) is a free, open-source, and neural network-based chess engine and distributed computing project.
Leela Zero's algorithm is based on DeepMind's 2017 paper about AlphaGo Zero.[3][6] Unlike the original Leela, which has a lot of human knowledge and heuristics programmed into it, Leela Zero only knows the basic rules and nothing more.[7]
Leela Zero is trained by a distributed effort, which is coordinated at the Leela Zero website. Members of the community provide computing resources by running the client, which generates self-play games and submits them to the server. The self-play games are used to train newer networks. Generally, over 500 clients have connected to the server to contribute resources.[7] The community has provided high quality code contributions as well.[7]
Leela Zero finished third at the BerryGenomics Cup World AI Go Tournament in Fuzhou, Fujian, China on 28 April 2018.[8]
Info about Alphazero:
en.wikipedia.org/wiki/AlphaZero
AlphaZero is a computer program developed by the Alphabet-owned AI research company DeepMind, which uses an approach similar to AlphaGo Zero's to master not just Go, but also chess and shogi. On December 5, 2017 the DeepMind team released a preprint introducing AlphaZero, which, within 24 hours, achieved a superhuman level of play in these three games by defeating world-champion programs, Stockfish, elmo, and the 3-day version of AlphaGo Zero, in each case making use of custom tensor processing units (TPUs) that the Google programs were optimized to make use of.[1] AlphaZero was trained solely via "self-play" using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After just four hours of training, DeepMind estimated AlphaZero was playing at a higher Elo rating than Stockfish; after 9 hours of training, the algorithm decisively defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws).[1][2][3] The trained algorithm played on a single machine with four TPUs.
...
Relation to AlphaGo Zero
Further information: AlphaGo Zero
AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include:[1]
AZ has hard-coded rules for setting search hyperparameters.
The neural network is now updated continually.
Go (unlike Chess) is symmetric under certain reflections and rotations; AlphaGo Zero was programmed to take advantage of these symmetries. AlphaZero is not.
Chess can end in a draw unlike Go; therefore AlphaZero can take into account the possibility of a drawn game.
AlphaZero vs. Stockfish and elmo
...
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Пікірлер: 32

@davids2448 5 жыл бұрын

Your comments remind me how David Levy described in the eighties how it was necessary to apply subtle pressure against a computer chess program so that the subtlety will perhaps be overlooked until the real threats can no longer be met. Against the modern programs we now have a force that can achieve this.

@feelzthedon994 5 жыл бұрын

That Queen sac by Leela was brilliant!! Stockfish was so desperate that eventually they lost two exchanges with the Rook for the Bishop and finally giving the Queen back for the Rook.

@kingscrusher 5 жыл бұрын

Cheers, K

@Christoff070 5 жыл бұрын

Great game KC, thankkks. (Fun comment, cheerrs :)))

@julioandresgomez3201 5 жыл бұрын

Not everyday someone_ or something_ outplays Stockfish tactically! E4 is such an inspiration that eludes pure calculation. Of course, if Stockfish sees it, or bothers to deepen in that line, would have never played bishop c3. Albeit maybe at this point is too late, the lesser evil, black bishops firing in those diagonals (and the queen, if left alone) collapse white position.

@kingscrusher 5 жыл бұрын

Q. Will Neural Networks play dynamic Queen Sacrifices? 🤔😀😎🌍 Video: goo.gl/mJBtPq Replayable game: goo.gl/xq4rys #chess #chessgame #ArtificialIntelligence #AI #MachineLearning #DeepLearning #lc0

@teslathejolteon8007 5 жыл бұрын

The title already made me like it

@piyushsharma5938 5 жыл бұрын

When the title was enough. ..

@COLDB33R 5 жыл бұрын

A good video, and a great game - but the title was just a *tiny* bit misleading. One can argue that getting 3 pieces for the Queen is an exchange, not a sacrifice.

@nicholasperkins4655 5 жыл бұрын

e4 at 4:18 is such an awesome move because it starts out as a double attack and no matter what white does the next attack is a quadruple attack.

@Bobby-fj8mk 5 жыл бұрын

Great game KC. I followed it through on Stockfish 10 from the Queen sacrifice. You're correct - it's very subtle. There are only small differences with Black winning by less than half a point for many moves after. Also - Stockfish later on sees faster ways of winning when given Black's pieces. Still not quite as exciting as when Fisher sacs his Queen: kzfaq.info/get/bejne/psupipCbrL6tf30.html but it's getting there.

@justindehorty 5 жыл бұрын

Thanks for the video, but in the future could you please clarify which moves were pre-selected as a part of the opening and which moves were played by the engines? Information like time control, cores, and GPU are also nice to know. Thanks again and keep up the great work.

@Smartsins 5 жыл бұрын

How is he showing us this while at the beach?

@brianteskey2425 5 жыл бұрын

Sf can’t hang with leela and A0 when it has to choose it own moves. Remember if games don’t start from move 1 then it’s not chess, it’s a variation of chess...

@klimtkiller 5 жыл бұрын

would be nice to have game pgn in description

@kingscrusher 5 жыл бұрын

I do put in some hours to analyse these games. Full members at chessworld.net can export all my annotated PGNs from the Chessworld master collection. Export links to PGN there for all my game analysis. Also new perks being added soon for full members.

@alienrenders 5 жыл бұрын

@@kingscrusher That's like saying someone put in a lot of work building a house, but can't be bothered to put siding on it.

@dejavulearning121 5 жыл бұрын

@@kingscrusher I understand that you do a lot of work doing the analysis, it would be great just to share the pgn without analysis or the link to the source of the game. Thanks.

@justinperkins4299 5 жыл бұрын

@@alienrenders groups.google.com/forum/#!topic/lczero/qNq0d_Q9hMY

@FMDD168 5 жыл бұрын

I'm a rated master and I never would have considered that Q Sacrifice that Leela opted for... Esoteric and unnatural, if not more trolling!?

@chesslover2925 5 жыл бұрын

D4 bishop is wall of china

@kamboonseng 5 жыл бұрын

Great game. however back at the TCEC ranch, stocky remains undefeated. Leela is second for now in the tourney.

@stephen0793 5 жыл бұрын

Its hard for me to understand how Stockfish could possibly not see how in that position someone could sac the queen for three pieces. That's obvious compensation, even under the normal rules (bishop and knight are 3 pawns, etc). Did Stockfish just "not see" the queen sac, or did it think it wasn't bad for white? Not only that, but it lost with the white pieces, not to Alpha Zero, but to Leela! Amazing

@michaelwill7811 5 жыл бұрын

My guess is that Stockfish, perhaps, saw that White was getting queen + pawn for three pieces which is, material-wise, +1 for white and didn't really look much further into the resulting position to see the pressure that black was getting... who knows for sure though?

@GnuReligion 5 жыл бұрын

LCZero v Andscacs, TCEC 160 -- did Leela miss a clear path to a win?

@MrDannyg77 5 жыл бұрын

Wait! Was the game adjudicated in the final position or did Leela troll the hell out of Stockfish before she filet’d him and fried him up?!

@kazedcat 5 жыл бұрын

@MTRredux The back rank is bad position for the king because you have limited movement. In fact once a lot of the pieces that can treaten the king are remove. You want your king in the center position. So the neural net could have evaluated that Leela is improving it's position by driving the opponent king back.

@driewiel 5 жыл бұрын

Would there be any human player sacrificing the queen in this position? More likely a women's rights activist would sac the king.

@martinet1985 5 жыл бұрын

Lol

@emsnewssupkis6453 5 жыл бұрын

Touche!

@herzwatithink9289 5 жыл бұрын

It certainly was a tough one to spot! I guess identifying White's dark square bishop as the problem piece is key. Is it something Magnus or Fabiano would play? I think more likely in blitz than classical (going on a hunch), but who knows :)

@paulwhite760 5 жыл бұрын

yeah...gotta get some white female privilege