548 search results - page 22 / 110 » A New Way to Introduce Knowledge into Reinforcement Learning |
MCS
2004
Springer
15 years 5 months ago
2004
Springer
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
211
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UM
2010
Springer
15 years 4 months ago
2010
Springer
The field of intelligent tutoring systems has been using the well known knowledge tracing model, popularized by Corbett and Anderson (1995) to track individual users’ knowledge f...
105
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GECCO
2010
Springer
15 years 3 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...
101
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ECML
1998
Springer
15 years 4 months ago
1998
Springer
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
PR
2002
14 years 11 months ago
2002
In video database systems, one of the most important methods for discriminating the videos is by using the objects and the perception of spatial and temporal relations that exist ...