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'''Dragon by Komodo Chess''',<br/>
a version of Komodo which combines a an [[NNUE]] based [[Evaluation|evaluation]] with Komodo's [[Search|search]],
either classical [[Alpha-Beta|alpha-beta]] as well as [[Monte-Carlo Tree Search|MCTS]].
Dragon was announced on November 02, 2020, and released as '''Dragon by Komodo Chess''' on November 10, 2020.
Dragon is the work of [[Larry Kaufman]] and [[Mark Lefler]], who superseded original Komodo author [[Don Dailey]] after his death on November 22, 2013,
further supported by [[Dmitry Pervov]] and [[Dietrich Kappe]] concerning the NNUE implementation and training. The [[Neural Networks|neural network]] was trained [[Supervised Learning|supervised]] by chess [https://en.wikipedia.org/wiki/International_Grandmaster Grandmaster] Larry Kaufman, along with [[Reinforcement Learning|reinforcement learning]] considering billions of positions and evaluations from Komodo games.[https://en.wikipedia.org/wiki/Chess.com Chess.com] supported the project financially <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=75748 Dragon by Komodo Chess] by [[Larry Kaufman]], [[CCC]], November 10, 2022020</ref>.
=Namesake=
[[Category:UCI]]
[[Category:NNUE]]
[[Category:MCTS]]
[[Category:Namesake]]
[[Category:Commercial]]
[[Category:Mac]]
[[Category:Windows]]
[[Category:Dragon]]
[[Category:Reptile]]
[[Category:Chess960]]
