4544 search results - page 317 / 909 » Reinforcement Learning with Time |
121
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
IJCAI
2007
15 years 5 months ago
2007
Although necessary, learning to discover new solutions is often long and difficult, even for supposedly simple tasks such as counting. On the other hand, learning by imitation pr...
118
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CONNECTION
2006
15 years 4 months ago
2006
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
134
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
141
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ICANN
2010
Springer
15 years 5 months ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...