...chapter/10.1007/978-3-642-31866-5_8 Towards a Solution of 7x7 Go with Meta-MCTS]''. [[Advances in Computer Games 13]]
...s://arxiv.org/abs/1607.08100 arXiv:1607.0810] » [[Monte-Carlo Tree Search|MCTS]]
16 KB (1,987 words) - 12:32, 14 March 2022
...learning]] along with [[Monte-Carlo Tree Search|Monte-Carlo tree search]] (MCTS) techniques of [[AlphaZero]] as described in [[DeepMind|DeepMind's]] 2017 a
11 KB (1,418 words) - 10:56, 22 June 2021
...nsei's Library: Zen (go program)]</ref> applying [[Monte-Carlo Tree Search|MCTS]] using big patterns and [[Root|root]] [[Parallel Search|parallelization]]
3 KB (443 words) - 17:33, 7 March 2019
...aGo Zero paper]</ref>, a Go playing entity using [[Monte-Carlo Tree Search|MCTS]] (but without Monte Carlo playouts) and a [[Neural Networks#Deep|deep]] [[
7 KB (954 words) - 18:38, 8 August 2020
...[Chris Whittington]], [[CCC]], April 28, 2019 » [[Monte-Carlo Tree Search|MCTS]], [[Deep Learning]]
8 KB (1,030 words) - 20:40, 15 September 2020
...). ''[http://www.aifactory.co.uk/newsletter/2011_02_mcts_static.htm Mixing MCTS with Conventional Static Evaluation: Experiments and shortcuts en-route to
...ctory.co.uk/newsletter/2013_02_unknown_mcts.htm Searching the Unknown with MCTS]''. [[AI Factory]], Winter 2013 » [[Monte-Carlo Tree Search]]
10 KB (1,299 words) - 17:40, 16 November 2020
...?id=528 MC_ark], a Go playing program performing [[Monte-Carlo Tree Search|MCTS]], inspired by [[Rémi Coulom|Rémi Coulom's]] [[CGW 2007]] paper ''Computi
3 KB (402 words) - 10:06, 3 September 2018
...ombining [[Deep Learning|Deep learning]] with [[Monte-Carlo Tree Search]] (MCTS) <ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioan
...nce trained, these network is combined with a [[Monte-Carlo Tree Search]] (MCTS) using the policy to narrow down the search to high probability moves, an
45 KB (5,877 words) - 22:35, 31 January 2022
[[Category:MCTS]]
6 KB (878 words) - 21:20, 9 September 2020
* [[Jacek Mańdziuk]] ('''2018'''). ''MCTS/UCT in Solving Real-Life Problems''. [https://www.springer.com/us/book/9783
9 KB (1,285 words) - 17:32, 23 October 2018
...proved engine, Komodo 12 features an optional [[Monte-Carlo Tree Search]] (MCTS), the release likely influenced by the [[AlphaZero]] hype.
....talkchess.com/forum3/viewtopic.php?f=2&t=67441&start=25 Re: Komodo 12 and MCTS] by [[Mark Lefler]], [[CCC]], May 14, 2018</ref>
59 KB (8,113 words) - 11:58, 26 February 2021
...Müller]], [[Jakub Pawlewicz]] ('''2013'''). ''MoHex 2.0: a pattern-based MCTS Hex player''. [[CG 2013]]
15 KB (2,037 words) - 21:26, 30 November 2021
#REDIRECT [[Komodo#MCTS]]
25 bytes (3 words) - 14:14, 10 November 2018
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=69612 MCTS: How to deal with extreme imbalances] by [[Alexandru Mosoi]], [[CCC]], Janu
16 KB (2,185 words) - 10:24, 1 June 2020
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=69612 MCTS: How to deal with extreme imbalances] by [[Alexandru Mosoi]], [[CCC]], Janu
6 KB (851 words) - 10:24, 18 January 2019
...st-First|Best-first]] [[Monte-Carlo Tree Search|Monte-Carlo Tree Search]] (MCTS) with [[Deep Learning|deep learning]] methodology will work with GPU archit
...fecting game playing programs combining CNN with [[Monte-Carlo Tree Search|MCTS]], as pioneered by [[Google]] [[DeepMind|DeepMind's]] [[AlphaGo]] and [[Alp
63 KB (8,627 words) - 10:34, 24 January 2024
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=67235&start=10 Re: MCTS beginner questions] by [[Brian Richardson]], [[CCC]], April 27, 2018
3 KB (454 words) - 18:21, 12 December 2018
* [http://www.talkchess.com/forum/viewtopic.php?t=41730 MCTS without random playout?] by [[Antonio Torrecillas]], [[CCC]], January 01, 2
3 KB (411 words) - 22:05, 3 November 2020
...earch algorithm <ref>[http://www.talkchess.com/forum/viewtopic.php?t=41730 MCTS without random playout?] by [[Antonio Torrecillas]], [[CCC]], January 01, 2
...ach_game=1&eng=Rocinante%202.0%2064-bit%20%28mcts%29 Rocinante 2.0 64-bit (mcts)] in [[CCRL|CCRL 40/4]]
6 KB (849 words) - 21:25, 9 September 2020
...jun Huang#Rollout|Rollout Paradigm]] and further [[Monte-Carlo_Tree_Search|MCTS]]-minimax hybrids share the same idea, to combine Best-First with Depth-Fir
* [http://www.talkchess.com/forum/viewtopic.php?t=41730 MCTS without random playout?] by [[Antonio Torrecillas]], [[CCC]], January 01, 2
3 KB (341 words) - 21:35, 11 February 2019
