8512 search results - page 1441 / 1703 » Computing Theory With Relevance |
188
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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 ...
157
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ASAP
2009
IEEE
15 years 10 months ago
2009
IEEE
An implementation of a radix-4 approximate squaring circuit is described employing a new operand dual recoding technique. Approximate squaring circuits have numerous applications ...
185
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GECCO
2010
Springer
15 years 10 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
153
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VISSYM
2007
15 years 9 months ago
2007
Grouse is a feature-based approach to steerable exploration of a graph and an associated hierarchy. Steerability allows exploration to begin immediately, rather than requiring a c...
163
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VISSYM
2007
15 years 9 months ago
2007
For displaying a dense graph, an adjacency matrix is superior than a node-link diagram because it is more compact and free of visual clutter. A node-link diagram, however, is far ...