...[[Jr-Chang Chen]] ('''2015'''). ''Strength Improvement and Analysis for an MCTS-Based Chinese Dark Chess Program''. [[Advances in Computer Games 14]]
4 KB (474 words) - 16:21, 1 December 2021
...ical optimization], [[Parallel Search|parallel]] [[Monte-Carlo Tree Search|MCTS]], and recently [[Go#CNN|DCNN]] <ref>[https://groups.google.com/d/msg/compu
3 KB (395 words) - 16:39, 1 December 2021
...chapter/10.1007/978-3-642-31866-5_8 Towards a Solution of 7x7 Go with Meta-MCTS]''. [[Advances in Computer Games 13]]
...[[Jr-Chang Chen]] ('''2015'''). ''Strength Improvement and Analysis for an MCTS-Based Chinese Dark Chess Program''. [[Advances in Computer Games 14]]
20 KB (2,569 words) - 12:33, 14 March 2022
...bfb6ecc6fb5afb684df03d7220c46ebdbf4e.pdf pdf] » [[Monte-Carlo Tree Search|MCTS]], [[UCT]], [[Reinforcement Learning]]
...[http://proceedings.mlr.press/ PMLR], Vol. 24 » [[Monte-Carlo Tree Search|MCTS]], [[UCT]]
13 KB (1,801 words) - 17:32, 23 October 2018
...[http://proceedings.mlr.press/ PMLR], Vol. 24 » [[Monte-Carlo Tree Search|MCTS]], [[UCT]]
5 KB (648 words) - 23:46, 28 November 2018
==MCTS==
...and [[ABDADA]] like BUSY flag for alpha-beta rollouts. ABDADA and parallel MCTS from the [[Go]] world are very similar in nature <ref>[http://www.talkchess
14 KB (1,843 words) - 17:35, 16 March 2022
...]] <ref> [http://rybkaforum.net/cgi-bin/rybkaforum/topic_show.pl?tid=32429 MCTS weakness wrt AB (via Daniel Shawul)] by [[Chris Whittington]], [[Computer C
13 KB (1,801 words) - 11:28, 31 January 2021
* [http://www.talkchess.com/forum/viewtopic.php?t=65964 Nebiyu-MCTS vs TSCP 1-0] by [[Daniel Shawul]], [[CCC]], December 10, 2017 » [[UCT]]
[[Category:MCTS]]
4 KB (470 words) - 16:41, 27 June 2021
...valuation|evaluation]] function in the rollout phase and move selection of MCTS - with encouraging results in the domains of [[Othello]] and [https://en.wi
...pter/10.1007/978-3-319-57969-6_5 A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta]''. [https://link.springer.com/book/10.1007%2F978-3-319-5796
8 KB (1,098 words) - 14:53, 4 September 2018
...<ref>[https://groups.google.com/d/msg/fishcooking/rMCfc8zMerc/F01WuNtDCgAJ MCTS wrapper for StockFish] by [[Jonathan Baxter]], [[Computer Chess Forums|Fish
* [https://groups.google.com/d/msg/fishcooking/rMCfc8zMerc/F01WuNtDCgAJ MCTS wrapper for StockFish] by [[Jonathan Baxter]], [[Computer Chess Forums|Fish
7 KB (952 words) - 22:40, 23 May 2019
...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
