425 search results - page 43 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
100
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NN
2008
Springer
15 years 1 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
111
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ICRA
2009
IEEE
15 years 8 months ago
2009
IEEE
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
110
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ICNC
2009
Springer
15 years 8 months ago
2009
Springer
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
109
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ICRA
2010
IEEE
14 years 12 months ago
2010
IEEE
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
FLAIRS
2003
15 years 2 months ago
2003
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...