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» Heuristic Evaluation Functions for General Game Playing
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ACG
2009
Springer
14 years 2 months ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 8 months ago
Fitnessless coevolution
We introduce fitnessless coevolution (FC), a novel method of comparative one-population coevolution. FC plays games between individuals to settle tournaments in the selection pha...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
ACG
2009
Springer
14 years 2 months ago
Evaluation Function Based Monte-Carlo LOA
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In the game of Lines of Action (LOA), which has been dominated in the past by αβ, M...
Mark H. M. Winands, Yngvi Björnsson
CG
2006
Springer
13 years 9 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
ICDCS
2010
IEEE
13 years 11 months ago
Existence Theorems and Approximation Algorithms for Generalized Network Security Games
—Aspnes et al [2] introduced an innovative game for modeling the containment of the spread of viruses and worms (security breaches) in a network. In this model, nodes choose to i...
V. S. Anil Kumar, Rajmohan Rajaraman, Zhifeng Sun,...