Difference between revisions of "Fat Fritz"

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* [https://github.com/DanielUranga/lc0/tree/uci-wdl-reporting GitHub - DanielUranga/lc0 at uci-wdl-reporting]
 
* [https://github.com/DanielUranga/lc0/tree/uci-wdl-reporting GitHub - DanielUranga/lc0 at uci-wdl-reporting]
 
* [https://ci.appveyor.com/project/DanielUranga/lc0 lc0 84 - AppVeyor]
 
* [https://ci.appveyor.com/project/DanielUranga/lc0 lc0 84 - AppVeyor]
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* [https://github.com/kiudee/bayes-skopt GitHub - kiudee/bayes-skopt: A fully Bayesian implementation of sequential model-based optimization] by [[Karlson Pfannschmidt]] <ref>[https://en.chessbase.com/post/fat-fritz-update-and-fat-fritz-jr Fat Fritz 1.1 update and a small gift] by [[Albert Silver]]. [[ChessBase|ChessBase News]], March 05, 2020</ref>
  
 
=References=  
 
=References=  

Revision as of 19:36, 8 March 2020

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

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