-
1
-
-
0036568025
-
Finite-time analysis of the multiarmed bandit problem
-
Peter Auer, Nicolò Cesa-Bianchi, and Paul Fischer. Finite-time analysis of the multiarmed bandit problem. Machine learning, 47(2-3):235-256, 2002.
-
(2002)
Machine Learning
, vol.47
, Issue.2-3
, pp. 235-256
-
-
Auer, P.1
Cesa-Bianchi, N.2
Fischer, P.3
-
2
-
-
79955835579
-
Multiple tree for partially observable Monte-Carlo tree search
-
Springer
-
David Auger. Multiple tree for partially observable monte-carlo tree search. In Applications of Evolutionary Computation, pages 53-62. Springer, 2011.
-
(2011)
Applications of Evolutionary Computation
, pp. 53-62
-
-
Auger, D.1
-
3
-
-
84883083628
-
The annual computer poker competition
-
Nolan Bard, John Hawkin, Jonathan Rubin, and Martin Zinkevich. The annual computer poker competition. AI Magazine, 34(2):112, 2013.
-
(2013)
AI Magazine
, vol.34
, Issue.2
, pp. 112
-
-
Bard, N.1
Hawkin, J.2
Rubin, J.3
Zinkevich, M.4
-
4
-
-
0036149710
-
The challenge of poker
-
Darse Billings, Aaron Davidson, Jonathan Schaeffer, and Duane Szafron. The challenge of poker. Artificial Intelligence, 134(1):201-240, 2002.
-
(2002)
Artificial Intelligence
, vol.134
, Issue.1
, pp. 201-240
-
-
Billings, D.1
Davidson, A.2
Schaeffer, J.3
Szafron, D.4
-
5
-
-
84880840280
-
Approximating gametheoretic optimal strategies for full-scale poker
-
Darse Billings, Neil Burch, Aaron Davidson, Robert Holte, Jonathan Schaeffer, Terence Schauenberg, and Duane Szafron. Approximating gametheoretic optimal strategies for full-scale poker. In IJCAI, pages 661-668, 2003.
-
(2003)
IJCAI
, pp. 661-668
-
-
Billings, D.1
Burch, N.2
Davidson, A.3
Holte, R.4
Schaeffer, J.5
Schauenberg, T.6
Szafron, D.7
-
6
-
-
84923349132
-
Heads-up limit holdem poker is solved
-
Michael Bowling, Neil Burch, Michael Johanson, and Oskari Tammelin. Heads-up limit holdem poker is solved. Science, 347 (6218):145-149, 2015.
-
(2015)
Science
, vol.347
, Issue.6218
, pp. 145-149
-
-
Bowling, M.1
Burch, N.2
Johanson, M.3
Tammelin, O.4
-
8
-
-
84858960516
-
A survey of Monte Carlo tree search methods
-
Cameron B Browne, Edward Powley, Daniel Whitehouse, Simon M Lucas, Peter I Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and Simon Colton. A survey of monte carlo tree search methods. Computational Intelligence and AI in Games, IEEE Transactions on, 4(1):1-43, 2012.
-
(2012)
Computational Intelligence and AI in Games, IEEE Transactions On
, vol.4
, Issue.1
, pp. 1-43
-
-
Browne, C.B.1
Powley, E.2
Whitehouse, D.3
Lucas, S.M.4
Cowling, P.I.5
Rohlfshagen, P.6
Tavener, S.7
Perez, D.8
Samothrakis, S.9
Colton, S.10
-
10
-
-
38049037928
-
Efficient selectivity and backup operators in Monte-Carlo tree search
-
Springer
-
Rémi Coulom. Efficient selectivity and backup operators in monte-carlo tree search. In Computers and games, pages 72-83. Springer, 2007.
-
(2007)
Computers and Games
, pp. 72-83
-
-
Coulom, R.1
-
11
-
-
84862586602
-
Information set Monte Carlo tree search
-
Peter I Cowling, Edward J Powley, and Daniel Whitehouse. Information set monte carlo tree search. Computational Intelligence and AI in Games, IEEE Transactions on, 4(2):120-143, 2012.
-
(2012)
Computational Intelligence and AI in Games, IEEE Transactions On
, vol.4
, Issue.2
, pp. 120-143
-
-
Cowling, P.I.1
Powley, E.J.2
Whitehouse, D.3
-
13
-
-
84857593211
-
The grand challenge of computer go: Monte Carlo tree search and extensions
-
Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sebag, David Silver, Csaba Szepesvári, and Olivier Teytaud. The grand challenge of computer go: Monte carlo tree search and extensions. Communications of the ACM, 55(3):106-113, 2012.
-
(2012)
Communications of the ACM
, vol.55
, Issue.3
, pp. 106-113
-
-
Gelly, S.1
Kocsis, L.2
Schoenauer, M.3
Sebag, M.4
Silver, D.5
Szepesvári, C.6
Teytaud, O.7
-
16
-
-
33750293964
-
Bandit based Monte-Carlo planning
-
Springer
-
Levente Kocsis and Csaba Szepesvári. Bandit based monte-carlo planning. In Machine Learning: ECML 2006, pages 282-293. Springer, 2006.
-
(2006)
Machine Learning: ECML 2006
, pp. 282-293
-
-
Kocsis, L.1
Szepesvári, C.2
-
18
-
-
79953227801
-
Monte Carlo sampling for regret minimization in extensive games
-
Marc Lanctot, Kevin Waugh, Martin Zinkevich, and Michael H Bowling. Monte carlo sampling for regret minimization in extensive games. In NIPS, pages 1078-1086, 2009.
-
(2009)
NIPS
, pp. 1078-1086
-
-
Lanctot, M.1
Waugh, K.2
Zinkevich, M.3
Bowling, M.H.4
-
20
-
-
33744514808
-
Generalised weakened fictitious play
-
David S Leslie and Edmund J Collins. Generalised weakened fictitious play. Games and Economic Behavior, 56(2):285-298, 2006.
-
(2006)
Games and Economic Behavior
, vol.56
, Issue.2
, pp. 285-298
-
-
Leslie, D.S.1
Collins, E.J.2
-
22
-
-
84908365075
-
Alternative selection functions for information set Monte Carlo tree search
-
Viliam Lisý. Alternative selection functions for information set monte carlo tree search. Acta Polytechnica: Journal of Advanced Engineering, 54(5):333-340, 2014.
-
(2014)
Acta Polytechnica: Journal of Advanced Engineering
, vol.54
, Issue.5
, pp. 333-340
-
-
Lisý, V.1
-
23
-
-
84856471584
-
Computing approximate nash equilibria and robust best-responses using sampling
-
Marc Ponsen, Steven de Jong, and Marc Lanctot. Computing approximate nash equilibria and robust best-responses using sampling. Journal of Artificial Intelligence Research, 42(1):575-605, 2011.
-
(2011)
Journal of Artificial Intelligence Research
, vol.42
, Issue.1
, pp. 575-605
-
-
Ponsen, M.1
De Jong, S.2
Lanctot, M.3
-
24
-
-
79959727828
-
The state of solving large incomplete-information games, and application to poker
-
Tuomas Sandholm. The state of solving large incomplete-information games, and application to poker. AI Magazine, 31(4):13-32, 2010.
-
(2010)
AI Magazine
, vol.31
, Issue.4
, pp. 13-32
-
-
Sandholm, T.1
-
26
-
-
80053237361
-
Bayes bluff: Opponent modelling in poker
-
Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, and Chris Rayner. Bayes bluff: Opponent modelling in poker. In In Proceedings of the Twenty-First Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2005.
-
(2005)
Proceedings of the Twenty-First Annual Conference on Uncertainty in Artificial Intelligence (UAI)
-
-
Southey, F.1
Bowling, M.2
Larson, B.3
Piccione, C.4
Burch, N.5
Billings, D.6
Rayner, C.7
-
27
-
-
85162042235
-
Regret minimization in games with incomplete information
-
Martin Zinkevich, Michael Johanson, Michael Bowling, and Carmelo Piccione. Regret minimization in games with incomplete information. In Advances in neural information processing systems, pages 1729-1736, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, pp. 1729-1736
-
-
Zinkevich, M.1
Johanson, M.2
Bowling, M.3
Piccione, C.4
|