1325 search results - page 105 / 265 » Algorithm Selection using Reinforcement Learning |
122
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ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
113
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ECML
2005
Springer
15 years 8 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
160
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IROS
2007
IEEE
15 years 9 months ago
2007
IEEE
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
135
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COLING
2002
15 years 2 months ago
2002
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
109
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ICRA
2009
IEEE
15 years 9 months ago
2009
IEEE
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...