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» Learning and Applying Competitive Strategies
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CEC
2010
IEEE
15 years 22 days ago
Coevolutionary Temporal Difference Learning for small-board Go
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
Krzysztof Krawiec, Marcin Szubert
106
Voted
EWRL
2008
15 years 2 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
Verena Heidrich-Meisner, Christian Igel
102
Voted
ICIAP
1999
ACM
15 years 4 months ago
Texture Segmentation by Frequency-Sensitive Elliptical Competitive Learning
In this paper a new learning algorithm is proposed with the purpose of texture segmentation. The algorithm is a competitive clustering scheme with two specific features: elliptic...
Steve De Backer, Paul Scheunders
ACRI
2006
Springer
15 years 6 months ago
Attaining Human-Competitive Game Playing with Genetic Programming
Abstract— We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strat...
Moshe Sipper
104
Voted
HICSS
2006
IEEE
160views Biometrics» more  HICSS 2006»
15 years 6 months ago
Cyber Defense Competitions and Information Security Education: An Active Learning Solution for a Capstone Course
The content of information security curricula spans a wide array of topics. Because of this variety, a program needs to focus on some particular aspect and provide appropriate dep...
Art Conklin