Bandit based Monte-Carlo Planning (2006)

by Levente Kocsis , Csaba Szepesvári
Venue:In: ECML-06. Number 4212 in LNCS
Citations:217 - 6 self

Active Bibliography

Improved Monte-Carlo Search – Levente Kocsis, Csaba Szepesvári, Jan Willemson
18 A unifying framework for computational reinforcement learning theory – Lihong Li - 2009
4 Move pruning techniques for Monte-Carlo Go – Bruno Bouzy - 2005
114 Efficient selectivity and backup operators in Monte-Carlo tree search – Rémi Coulom - 2006
10 Associating shallow and selective global tree search with monte carlo for 9x9 go – Bruno Bouzy - 2004
2 Evaluation of Monte Carlo Tree Search and the Application to Go – Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi
6 Monte-Carlo Tree Search in Production Management Problems – Guillaume Chaslot, Steven Jong, Jahn-takeshi Saito, Jos Uiterwijk
14 Monte-Carlo Go Reinforcement Learning Experiments – Bruno Bouzy, Université René Descartes - 2006
41 PAC bounds for multi-armed bandit and Markov decision processes – Eyal Even-dar, Shie Mannor, Yishay Mansour - 2002
6 Open Loop Optimistic Planning – Sébastien Bubeck, Rémi Munos
Received (Day Month Year) Revised (Day Month Year) – Olivier Buffet, Accepted (day Month Year
Monte-Carlo Planning for Pathfinding in Real-Time Strategy Games – Munir Naveed, Diane Kitchin, Andrew Crampton
15 Evolutionary Computation and Games – Simon M. Lucas, Graham Kendall - 2006
Automated Domain Analysis and Transfer Learning in General Game Playing – Gregory John Kuhlmann - 2010
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Non-Linear Monte-Carlo Search in Civilization II – S. R. K. Branavan, David Silver, Regina Barzilay
9 Monte-Carlo Simulation Balancing – David Silver, Gerald Tesauro
7 Combining tactical search and monte-carlo in the game of go – Tristan Cazenave, Bernard Helmstetter - 2005
5 A Phantom-Go Program – Tristan Cazenave - 2005