425 search results - page 20 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
ROBOCUP
2000
Springer
15 years 3 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
CEC
2007
IEEE
15 years 6 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
ICRA
2002
IEEE
15 years 4 months ago
2002
IEEE
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
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CLEF
2010
Springer
15 years 25 days ago
2010
Springer
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
ICAI
2004
15 years 1 months ago
2004
We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...