360 search results - page 35 / 72 » Combining Learned Discrete and Continuous Action Models |
146
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NIPS
2003
15 years 5 months ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
143
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DGCI
2006
Springer
15 years 8 months ago
2006
Springer
Differential operators are required to compute several characteristics for continuous surfaces, as e.g. tangents, curvature, flatness, shape descriptors. We propose to replace diff...
135
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ILP
2005
Springer
15 years 10 months ago
2005
Springer
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
133
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COLING
1992
15 years 5 months ago
1992
This paper presents a plan-based model of dialogue that combines world, linguistic, and contextual knowledge in order to recognize complex communicative actions such as expressing...
141
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GPEM
2008
15 years 4 months ago
2008
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...