2299 search results - page 28 / 460 » Inference and Learning in Planning |
164
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ICML
1996
IEEE
16 years 5 months ago
1996
IEEE
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
152
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ICMLA
2003
15 years 6 months ago
2003
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
159
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JMLR
2010
14 years 12 months ago
2010
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
157
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NIPS
1998
15 years 6 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
153
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AAAI
2006
15 years 6 months ago
2006
Even under polynomial restrictions on plan length, conformant planning remains a very hard computational problem as plan verification itself can take exponential time. This heavy ...