906 search results - page 24 / 182 » Games for Learning and Learning from Games |
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
AIIDE
2006
14 years 11 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
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KI
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. There is a growing research interest in the design of competitive and adaptive Game AI for complex computer strategy games. In this paper, we present a novel approach for...
FDG
2009
ACM
15 years 2 months ago
2009
ACM
In this paper we share experiences from two 2-week summer courses for middle-school students in game programming using Storytelling Alice (SA). The students spent 20 hours learnin...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent ...