Monte-Carlo Tree Search (Polish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Monte-Carlo Tree Search" in Polish language version.

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5doi.org

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4ualberta.ca

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3springer.com

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2inria.fr

4,903^rd place

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2free.fr

321^st place

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2ieee.org

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941^st place

1mcts.ai

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1ewalds.ca

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1arimaa.com

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1acm.org

1,185^th place

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1auckland.ac.nz

4,539^th place

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1ieee-cig.org

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1ideanest.com

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1landofsand.com

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1technion.ac.il

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1machinelearning.org

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1worldscientific.com

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1unimaas.nl

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1dcook.org

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1xmp.net

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acm.org

dl.acm.org

Michael Buro, Jeffrey Richard Long, Timothy Furtak, Nathan R. Sturtevant: Improving State Evaluation, Inference, and Search in Trick-Based Card Games. W: IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11–17, 2009. Craig Boutilier (red.). 2009, s. 1407–1413.

arimaa.com

Tomáš Kozelek: Methods of MCTS and the game Arimaa. Praca magisterska, Uniwersytet Karola w Pradze, 2009.

auckland.ac.nz

cs.auckland.ac.nz

Jonathan Rubin, Ian Watson. Computer poker: A review. „Artificial Intelligence”. 175 (5–6), kwiecień 2011. DOI: 10.1016/j.artint.2010.12.005.

dcook.org

The Shodan Go Bet. [dostęp 2012-05-02].

doi.org

Jonathan Rubin, Ian Watson. Computer poker: A review. „Artificial Intelligence”. 175 (5–6), kwiecień 2011. DOI: 10.1016/j.artint.2010.12.005.
Levente Kocsis, Csaba Szepesvári: Bandit based Monte-Carlo Planning. W: Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18–22, 2006, Proceedings. Lecture Notes in Computer Science 4212. Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (red.). Springer, 2006, s. 282–293. DOI: 10.1007/11871842_29. ISBN 3-540-45375-X.
G.M.J.B. Chaslot, M.H.M. Winands, J.W.H.M. Uiterwijk, H.J. van den Herik, B. Bouzy. Progressive Strategies for Monte-Carlo Tree Search. „New Mathematics and Natural Computation”. 4 (3), s. 343–359, 2008. DOI: 10.1142/S1793005708001094.
Markus Enzenberger, Martin Müller: A Lock-free Multithreaded Monte-Carlo Tree Search Algorithm. W: Advances in Computer Games: 12th International Conference, ACG 2009, Pamplona, Spain, May 11–13, 2009, Revised Papers. H. Jaap Van Den Herik, Pieter Spronck (red.). Springer, 2010, s. 14–20. DOI: 10.1007/978-3-642-12993-3_2. ISBN 978-3-642-12992-6.
Rémi Coulom: Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search. W: Computers and Games, 5th International Conference, CG 2006, Turin, Italy, May 29–31, 2006. Revised Papers. H. Jaap van den Herik, Paolo Ciancarini, H.H.L.M. Donkers (red.). Springer, 2007, s. 72–83. DOI: 10.1007/978-3-540-75538-8_7. ISBN 978-3-540-75537-1.

ewalds.ca

havannah.ewalds.ca

Timo Ewalds: Playing and Solving Havannah. Praca magisterska, University of Alberta, 2011.

free.fr

remi.coulom.free.fr

Rémi Coulom: CLOP: Confident Local Optimization for Noisy Black-Box Parameter Tuning. W: ACG 2011: Advances in Computer Games 13 Conference, Tilburg, the Netherlands, November 20–22.
Rémi Coulom: The Monte-Carlo Revolution in Go. W: Japanese-French Frontiers of Science Symposium. 2008.

ideanest.com

Bernd Brügmann: Monte Carlo Go. Raport techniczny, wydział fizyki, Syracuse University, 1993.

ieee-cig.org

C.D. Ward, P.I. Cowling: Monte Carlo Search Applied to Card Selection in Magic: The Gathering. W: CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games. IEEE Press, 2009.

ieee.org

ewh.ieee.org

Bruno Bouzy: Old-fashioned Computer Go vs Monte-Carlo Go. W: IEEE Symposium on Computational Intelligence and Games, April 1–5, 2007, Hilton Hawaiian Village, Honolulu, Hawaii.

ieeexplore.ieee.org

Swiechowski, M.; Mandziuk, J., "Self-Adaptation of Playing Strategies in General Game Playing" (2010), IEEE Transactions on Computational Intelligence and AI in Games, vol: 6(4), pp. 367-381, doi: 10.1109/TCIAIG.2013.2275163, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571225&isnumber=4804729

inria.fr

hal.inria.fr

Sylvain Gelly, Yizao Wang, Rémi Munos, Olivier Teytaud: Modification of UCT with Patterns in Monte-Carlo Go. Raport z badań, INRIA, listopad 2006.
Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong. The Computational Intelligence of MoGo Revealed in Taiwan’s Computer Go Tournaments. „IEEE Transactions on Computational Intelligence and AI in Games”. 1 (1), s. 73–89, 2009.

landofsand.com

sander.landofsand.com

Guillaume Chaslot, Sander Bakkes, Istvan Szita, Pieter Spronck: Monte-Carlo Tree Search: A New Framework for Game AI. W: Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, October 22–24, 2008, Stanford, California, USA. Christian Darken, Michael Mateas (red.). The AAAI Press, 2008, s. 216–217. ISBN 978-1-57735-391-1.

machinelearning.org

Sylvain Gelly, David Silver: Combining Online and Offline Knowledge in UCT. W: Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20–24, 2007. Zoubin Ghahramani (red.). ACM, 2007, s. 273–280. ISBN 978-1-59593-793-3.

mcts.ai

MCTS.ai: Everything Monte Carlo Tree Search. [dostęp 2012-02-19].

springer.com

link.springer.com

Levente Kocsis, Csaba Szepesvári: Bandit based Monte-Carlo Planning. W: Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18–22, 2006, Proceedings. Lecture Notes in Computer Science 4212. Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (red.). Springer, 2006, s. 282–293. DOI: 10.1007/11871842_29. ISBN 3-540-45375-X.
Markus Enzenberger, Martin Müller: A Lock-free Multithreaded Monte-Carlo Tree Search Algorithm. W: Advances in Computer Games: 12th International Conference, ACG 2009, Pamplona, Spain, May 11–13, 2009, Revised Papers. H. Jaap Van Den Herik, Pieter Spronck (red.). Springer, 2010, s. 14–20. DOI: 10.1007/978-3-642-12993-3_2. ISBN 978-3-642-12992-6.
Rémi Coulom: Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search. W: Computers and Games, 5th International Conference, CG 2006, Turin, Italy, May 29–31, 2006. Revised Papers. H. Jaap van den Herik, Paolo Ciancarini, H.H.L.M. Donkers (red.). Springer, 2007, s. 72–83. DOI: 10.1007/978-3-540-75538-8_7. ISBN 978-3-540-75537-1.

technion.ac.il

moodle.technion.ac.il

Peter Auer, Nicolò Cesa-Bianchi, Paul Fischer. Finite-time Analysis of the Multiarmed Bandit Problem. „Machine Learning”. 47, s. 235–256, 2002.

ualberta.ca

webdocs.cs.ualberta.ca

Broderick Arneson, Ryan Hayward, Philip Henderson. MoHex Wins Hex Tournament. „ICGA Journal”. 32 (2), s. 114–116, czerwiec 2009.

ualberta.ca

István Szita, Guillaume Chaslot, Pieter Spronck: Monte-Carlo Tree Search in Settlers of Catan. W: Advances in Computer Games, 12th International Conference, ACG 2009, Pamplona, Spain, May 11–13, 2009. Revised Papers. H. Jaap van den Herik, Pieter Spronck (red.). Springer, 2010, s. 21–32. ISBN 978-3-642-12992-6.

papersdb.cs.ualberta.ca

David Silver: Reinforcement Learning and Simulation-Based Search in Computer Go. Rozprawa doktorska, University of Alberta, 2009.

cs.ualberta.ca

Markus Enzenberger, Martin Mūller: Fuego – An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search. Raport techniczny, University of Alberta, 2008.

unimaas.nl

personeel.unimaas.nl

Guillaume M.J-B. Chaslot, Mark H.M. Winands, H. Jaap van den Herik: Parallel Monte-Carlo Tree Search. W: Computers and Games, 6th International Conference, CG 2008, Beijing, China, September 29 – October 1, 2008. Proceedings. H. Jaap van den Herik, Xinhe Xu, Zongmin Ma, Mark H.M. Winands (red.). Springer, 2008, s. 60–71. ISBN 978-3-540-87607-6.

worldscientific.com

G.M.J.B. Chaslot, M.H.M. Winands, J.W.H.M. Uiterwijk, H.J. van den Herik, B. Bouzy. Progressive Strategies for Monte-Carlo Tree Search. „New Mathematics and Natural Computation”. 4 (3), s. 343–359, 2008. DOI: 10.1142/S1793005708001094.

xmp.net

senseis.xmp.net

Sensei’s Library: KGSBotRatings. [dostęp 2012-05-03].