2934 search results - page 200 / 587 » Hypothesis Spaces for Learning |
273
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ATAL
2006
Springer
15 years 10 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
185
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ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
167
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
High dimensionality of POMDP's belief state space is one major cause that makes the underlying optimal policy computation intractable. Belief compression refers to the method...
177
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JMLR
2008
15 years 6 months ago
2008
In this paper we are concerned with reproducing kernel Hilbert spaces HK of functions from an input space into a Hilbert space Y, an environment appropriate for multi-task learnin...
209
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PAMI
2008
15 years 6 months ago
2008
Abstract-- We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approac...