Difference between revisions of "Fat Fritz"

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(Created page with "'''Home * Engines * Fat Fritz''' '''Fat Fritz''',<br/> a commercial chess entity by ChessBase in form of custom made neural network...")
 
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further motivated by [[Albert Silver|Albert Silver's]] [[Deus X]] experience, relaxing the "Zero" paradigm of pure [[Reinforcement Learning|reinforcement learning]] due to [[Supervised Kearning|supervised learning]], Fat Fritz was released in November 2019 as part the [[Fritz|Fritz 17]] package,  
 
further motivated by [[Albert Silver|Albert Silver's]] [[Deus X]] experience, relaxing the "Zero" paradigm of pure [[Reinforcement Learning|reinforcement learning]] due to [[Supervised Kearning|supervised learning]], Fat Fritz was released in November 2019 as part the [[Fritz|Fritz 17]] package,  
 
best supported by a [[GPU]] card such as [[Nvidia]] [https://en.wikipedia.org/wiki/GeForce_20_series GeForce 20 series].  
 
best supported by a [[GPU]] card such as [[Nvidia]] [https://en.wikipedia.org/wiki/GeForce_20_series GeForce 20 series].  
The project was further discussed and supported by [[AlphaZero]] co-author [[Thore Graepel]], German computer chess icon [[Thomas Nitsche]] along with his sons Raphael and Maxim <ref>[https://en.chessbase.com/post/fat-fritz-what-on-earth-is-that Fat Fritz – What on Earth is that?] by [[Albert Silver]], [[ChessBase|ChessBase News]], August 13, 2019</ref>, and by [[Daniel Uranga]] <ref>[https://github.com/DanielUranga/lc0/tree/uci-wdl-reporting GitHub - DanielUranga/lc0 at uci-wdl-reporting]</ref>.
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The project was further discussed and supported by [[AlphaZero]] co-author [[Thore Graepel]], German computer chess icon [[Thomas Nitsche]] along with his sons and [https://de.wikipedia.org/wiki/Math42 Math42] authors Raphael Nitsche and Maxim Nitsche <ref>[https://en.chessbase.com/post/fat-fritz-what-on-earth-is-that Fat Fritz – What on Earth is that?] by [[Albert Silver]], [[ChessBase|ChessBase News]], August 13, 2019</ref>, and by [[Daniel Uranga]] <ref>[https://github.com/DanielUranga/lc0/tree/uci-wdl-reporting GitHub - DanielUranga/lc0 at uci-wdl-reporting]</ref>.
  
 
=See also=
 
=See also=

Revision as of 00:31, 13 November 2019

Home * Engines * Fat Fritz

Fat Fritz,
a commercial chess entity by ChessBase in form of custom made neural network weights that work in the open source project Leela Chess Zero. Initially announced as a cloud project inspired by DeepMind's ground breaking AlphaZero approach combining Deep learning with Monte-Carlo Tree Search (MCTS) [1], further motivated by Albert Silver's Deus X experience, relaxing the "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 was further discussed and supported by AlphaZero co-author Thore Graepel, German computer chess icon Thomas Nitsche along with his sons and Math42 authors Raphael Nitsche and Maxim Nitsche [2], and by Daniel Uranga [3].

See also

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