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» Explanation-Based Neural Network Learning for Robot Control
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101
Voted
ATAL
2003
Springer
15 years 7 months ago
Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
108
Voted
CEC
2005
IEEE
15 years 3 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson
IJCNN
2008
IEEE
15 years 8 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
ISMB
1993
15 years 3 months ago
Prediction of Primate Splice Junction Gene Sequences with a Cooperative Knowledge Acquisition System
Wepropose a cooperative conceptual modelling environment in which two agents interact : the machineand the humanexpert. Theformer is able to extract knowledge from data using a sy...
Engelbert Mephu Nguifo, Jean Sallantin
115
Voted
IJCAI
2003
15 years 3 months ago
Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...