509 search results - page 15 / 102 » Compositional Models for Reinforcement Learning |
143
Voted
ACMICEC
2008
ACM
15 years 3 months ago
2008
ACM
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
119
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ICRA
2008
IEEE
15 years 8 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
106
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NN
2006
Springer
15 years 1 months ago
2006
Springer
Most reinforcement learning models of animal conditioning operate under the convenient, though fictive, assumption that Pavlovian conditioning concerns prediction learning whereas...
108
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ATAL
2008
Springer
15 years 3 months ago
2008
Springer
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
123
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...