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» A Benchmark for Cooperative Learning Agents
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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 25 days 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
CEC
2010
IEEE
13 years 8 months ago
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...
AAAI
2000
13 years 9 months ago
A Quantitative Study of Small Disjuncts
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
Gary M. Weiss, Haym Hirsh
CIMCA
2006
IEEE
14 years 1 months ago
Multi-Agent Coalition Formation for Long-Term Task or Mobile Network
Coalition formation is a process to form a group and solve a problem via cooperation. Because of the rising of network, each computing device can communicate through network. We c...
Hsiu-Hui Lee, Chung-Hsien Chen
JMLR
2006
153views more  JMLR 2006»
13 years 7 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis