1233 search results - page 168 / 247 » Reinforcement learning |
162
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CSE
2008
IEEE
15 years 10 months ago
2008
IEEE
Ad-hoc Grids are highly heterogeneous and dynamic networks, one of the main challenges of resource allocation in such environments is to find mechanisms which do not rely on the ...
143
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IJCAI
2007
15 years 5 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
150
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
139
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IBERAMIA
2010
Springer
15 years 2 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
122
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ISNN
2007
Springer
15 years 10 months ago
2007
Springer
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...