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CG
2004
Springer
13 years 9 months ago
Locally Informed Global Search for Sums of Combinatorial Games
Abstract. There are two complementary approaches to playing sums of combinatorial games. They can be characterized as local analysis and global search. Algorithms from combinatoria...
Martin Müller 0003, Zhichao Li
IEEECIT
2007
IEEE
14 years 2 days ago
SiteRank-Based Crawling Ordering Strategy for Search Engines
Search engines are playing a more and more important role in discovering information nowadays. Due to limitations of time-consuming, network bandwidth and hardwares, we cannot obt...
Qiancheng Jiang, Yan Zhang
ML
2000
ACM
126views Machine Learning» more  ML 2000»
13 years 5 months ago
Learning to Play Chess Using Temporal Differences
In this paper we present TDLEAF( ), a variation on the TD( ) algorithm that enables it to be used in conjunction with game-tree search. We present some experiments in which our che...
Jonathan Baxter, Andrew Tridgell, Lex Weaver
CG
2002
Springer
13 years 5 months ago
A Comparison of Algorithms for Multi-player Games
The maxn algorithm (Luckhardt and Irani, 1986) for playing multiplayer games is flexible, but there are only limited techniques for pruning maxn game trees. This paper presents oth...
Nathan R. Sturtevant
AAAI
2010
13 years 7 months ago
Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search
Perfect Information Monte Carlo (PIMC) search is a practical technique for playing imperfect information games that are too large to be optimally solved. Although PIMC search has ...
Jeffrey Richard Long, Nathan R. Sturtevant, Michae...