Difference between revisions of "Fat Fritz"

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* [https://en.chessbase.com/post/fat-fritz-what-videocard-to-buy Fat Fritz: what videocard to buy] by [[Albert Silver]], [[ChessBase|ChessBase News]], November 14, 2019
 
* [https://en.chessbase.com/post/fat-fritz-what-videocard-to-buy Fat Fritz: what videocard to buy] by [[Albert Silver]], [[ChessBase|ChessBase News]], November 14, 2019
 
* [https://en.chessbase.com/post/optimizing-fat-fritz Optimizing Fat Fritz, the top rated engine in the world] by [[Albert Silver]], [[ChessBase|ChessBase News]], November 25, 2019
 
* [https://en.chessbase.com/post/optimizing-fat-fritz Optimizing Fat Fritz, the top rated engine in the world] by [[Albert Silver]], [[ChessBase|ChessBase News]], November 25, 2019
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* [https://en.chessbase.com/post/fat-fritz-in-the-cloud Fat Fritz in the cloud] by [[Albert Silver]], [[ChessBase|ChessBase News]], November 28, 2019
 
==Fritz 17==
 
==Fritz 17==
 
* [https://en.chessbase.com/post/fritz-17-with-fat-fritz-and-goodies Introducing Fritz 17 with Fat Fritz and other goodies], [[ChessBase|ChessBase News]], November 12, 2019
 
* [https://en.chessbase.com/post/fritz-17-with-fat-fritz-and-goodies Introducing Fritz 17 with Fat Fritz and other goodies], [[ChessBase|ChessBase News]], November 12, 2019

Latest revision as of 23:44, 3 December 2019

Home * Engines * Fat Fritz

Unser Fritz [1]

Fat Fritz,
a commercial chess entity by ChessBase featuring a set of custom made neural network weights that work in the open source project Leela Chess Zero within its Lc0 executable. Initially introduced as a cloud project in August 2019, inspired by DeepMind's ground breaking AlphaZero approach combining Deep learning with Monte-Carlo Tree Search (MCTS) [2], and Albert Silver's Deus X experience, relaxing Leela Chess' "Zero" paradigm of pure reinforcement learning due to supervised learning, Fat Fritz was released in November 2019 as part the Fritz 17 package, best supported by a GPU card such as Nvidia GeForce 20 series. The project and its underlying techniques were emphasized by a talk of AlphaZero co-author Thore Graepel at ChessBase, attended by German computer chess icon Thomas Nitsche along with his sons and Math42 authors Raphael Nitsche and Maxim Nitsche [3]. Fat Fritz was further supported by Daniel Uranga [4] [5].

Lc0 and Fat Fritz Diagrams

Lc0diagram.png
Deusx.png

Lc0 and DeusX aka Fat Fritz components [6]

See also

Forum Posts

External Links

ChessBase

Fritz 17

Source Code

References

  1. Malakov tower (build 1873) of Colliery Unser Fritz, Shaft 1, in Herne, North Rhine-Westphalia, part of The Industrial Heritage Trail of the Ruhr area. Photo by GeorgeIvan, May 15, 2014, Wikimedia Commons, Unser Fritz/Crange is further district of Herne (Wanne), famous for its funfair Cranger Kirmes, and SV Unser Fritz the local chess club - eponym of the coal mine was Frederick III, German Emperor
  2. David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2017). Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. arXiv:1712.01815
  3. Fat Fritz – What on Earth is that? by Albert Silver, ChessBase News, August 13, 2019
  4. Standing on the shoulders of giants by Albert Silver, ChessBase News, September 18, 2019
  5. GitHub - DanielUranga/lc0 at uci-wdl-reporting
  6. My failed attempt to change TCEC NN clone rules by Alexander Lyashuk, CCC, September 14, 2019 » TCEC
  7. Nice review fo Fat Fritz by Jouni Uski, CCC, November 22, 2019

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