2103 search results - page 183 / 421 » Approximate Learning of Dynamic Models |
152
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AIPS
2009
15 years 6 months ago
2009
Solving multiagent planning problems modeled as DECPOMDPs is an important challenge. These models are often solved by using dynamic programming, but the high resource usage of cur...
170
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AMDO
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
139
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ATAL
2003
Springer
15 years 10 months ago
2003
Springer
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
156
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DSMML
2004
Springer
15 years 10 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
130
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IJCAI
1993
15 years 6 months ago
1993
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...