9886 search results - page 415 / 1978 » Learning Compressible Models |
136
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ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
158
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
126
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CIMCA
2005
IEEE
15 years 10 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
162
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ICCV
2001
IEEE
16 years 6 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
138
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...