10054 search results - page 472 / 2011 » On the Complexity of Function Learning |
120
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COLT
1992
Springer
15 years 9 months ago
1992
Springer
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
145
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
153
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GECCO
2010
Springer
15 years 8 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...
166
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ICRA
2009
IEEE
15 years 2 months ago
2009
IEEE
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
140
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...