4930 search results - page 204 / 986 » Learning minimal abstractions |
191
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SIAMJO
2010
15 years 1 months ago
2010
We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
202
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AAMAS
2007
Springer
16 years 23 days ago
2007
Springer
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
152
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COLT
2007
Springer
16 years 23 days ago
2007
Springer
Abstract. We consider the problem of learning an acyclic discrete circuit with n wires, fan-in bounded by k and alphabet size s using value injection queries. For the class of tran...
173
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IJCNN
2006
IEEE
16 years 18 days ago
2006
IEEE
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
178
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CIG
2005
IEEE
16 years 6 days ago
2005
IEEE
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...