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ATAL
2010
Springer
14 years 10 months ago
High-level reinforcement learning in strategy games
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
Christopher Amato, Guy Shani
MICAI
2005
Springer
15 years 3 months ago
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game
Abstract. In this paper we investigate the effectiveness of applying fuzzy controllers to create strong computer player programs in the domain of backgammon. Fuzzeval, our proposed...
Mikael Heinze, Daniel Ortiz Arroyo, Henrik Legind ...
FLAIRS
2009
14 years 7 months ago
Making User-Defined Interactive Game Characters BEHAVE
With the most resource intensive tasks in games offloaded to special purpose processors, game designers now have the opportunity to build richer characters using more complex AI t...
Frederick W. P. Heckel, G. Michael Youngblood, D. ...
ATAL
2009
Springer
15 years 4 months ago
State-coupled replicator dynamics
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 4 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin