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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
16 years 8 hour ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
AIED
2009
Springer
15 years 10 months ago
Can Virtual Human Build Rapport and Promote Learning?
Research show that teacher's nonverbal immediacy can have a positive impact on student's cognitive learning and affect [31]. This paper investigates the effectiveness of ...
Ning Wang, Jonathan Gratch
ATAL
2009
Springer
16 years 1 months ago
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
L. Julian Schvartzman, Michael P. Wellman
ATAL
2007
Springer
16 years 29 days ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
AMEC
2003
Springer
16 years 1 days ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...