Unlike Pigeon, Jaglavak performs a [[Monte-Carlo Tree Search|MCTS]] and uses the [[UCT]] formula to guide the selection of a node.
* [https://github.com/StuartRiffle/Jaglavak GitHub - StuartRiffle/Jaglavak: MCTS chess engine for GPU and SIMD]
3 KB (437 words) - 21:19, 9 September 2020
...]], [[CCC]], July 17, 2019 » [[Deep Learning]], [[Monte-Carlo Tree Search|MCTS]]
8 KB (1,085 words) - 20:41, 8 November 2021
...w.talkchess.com/forum3/viewtopic.php?f=7&t=71301&start=8 Re: A question to MCTS + NN experts] by [[Thomas Dybdahl Ahle]], [[CCC]], August 04, 2019
[[Category:MCTS]]
3 KB (448 words) - 13:56, 30 May 2021
...rum3/viewtopic.php?f=7&t=66886&start=1 Re: comparing minimax and averaging MCTS with alphabeta rollouts] by [[Bojun Guo]], [[CCC]], March 20, 2018 » [[Mon
5 KB (708 words) - 01:13, 13 January 2022
..., October 23, 2016 » [[Deep Learning]], [[Go]], [[Monte-Carlo Tree Search|MCTS]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=68875 Komodo MCTS scales worse with TC than Komodo A/B?] by [[Kai Laskos]], [[CCC]], November
16 KB (2,141 words) - 23:40, 2 December 2020
...r classical [[Alpha-Beta|alpha-beta]] as well as [[Monte-Carlo Tree Search|MCTS]].
[[Category:MCTS]]
7 KB (907 words) - 12:31, 11 October 2023
...rlo_tree_search#Exploration_and_exploitation Exploration and exploitation (MCTS) from Wikipedia]
2 KB (343 words) - 11:01, 23 December 2020
Ceres provides an [[Monte-Carlo Tree Search|MCTS]] implementation with many novel algorithmic improvements and low level opt
* [https://github.com/dje-dev/Ceres GitHub - dje-dev/Ceres: Ceres - an MCTS chess engine for research and recreation]
5 KB (669 words) - 23:02, 9 February 2021
Actually he works on back-porting [[Ceres|Ceres']] [[Monte-Carlo Tree Search|MCTS]] algorithmic improvements to [[Leela Chess Zero#Lc0|Lc0]], such as the par
2 KB (229 words) - 10:45, 16 January 2021
...chapter/10.1007/978-3-642-31866-5_8 Towards a Solution of 7x7 Go with Meta-MCTS]''. [[Advances in Computer Games 13]]
...[Julien Dehos]] ('''2015'''). ''On the Tactical and Strategic Behaviour of MCTS when Biasing Random Simulations''. [[ICGA Journal#38_2|ICGA Journal, Vol. 3
7 KB (916 words) - 12:31, 14 March 2022
...pired by the [[Deep Learning|deep learning]] and [[Monte-Carlo Tree Search|MCTS]] techniques described in [[DeepMind|DeepMind's]] [[AlphaZero]] papers
...ptionally features an improvement of AlphaZero's [[Monte-Carlo Tree Search|MCTS]] / [[Christopher D. Rosin#PUCT|PUCT]] algorithm, considering [[Transpositi
14 KB (1,843 words) - 12:23, 7 October 2021
...] on an improvement of [[AlphaZero|AlphaZero's]] [[Monte-Carlo Tree Search|MCTS]] / [[Christopher D. Rosin#PUCT|PUCT]] algorithm considering [[Transpositio
11 KB (1,334 words) - 22:35, 23 May 2021
...d on an improvement of [[AlphaZero|AlphaZero's]] [[Monte-Carlo Tree Search|MCTS]] / [[Christopher D. Rosin#PUCT|PUCT]] algorithm considering [[Transpositio
* [[Patrick Korus]] ('''2020'''). ''An Evaluation of MCTS Methods for Continuous Control Tasks''. B.Sc. thesis, [[Darmstadt Universit
2 KB (286 words) - 17:26, 23 May 2021
...o MCTS] by [[Mark Lefler]], [[CCC]], June 12, 2019 » [[Komodo#MCTS|Komodo MCTS]]</ref>.
[[Category:MCTS]]
7 KB (999 words) - 21:48, 5 June 2021
