163 search results - page 17 / 33 » Neural networks organizations to learn complex robotic funct... |
124
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AROBOTS
2002
14 years 11 months ago
2002
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
115
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SEAL
1998
Springer
15 years 3 months ago
1998
Springer
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
IWINAC
2007
Springer
15 years 5 months ago
2007
Springer
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
111
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ECAL
2001
Springer
15 years 4 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...