1455 search results - page 74 / 291 » Exploiting Myopic Learning |
GECCO
2009
Springer
15 years 7 months ago
2009
Springer
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
135
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
126
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IJCAI
2007
15 years 4 months ago
2007
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
135
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UAI
1996
15 years 4 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
136
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CE
2004
15 years 2 months ago
2004
Much computer-based learning is largely passive, based primarily on task-based, exercise-driven interactions. We argue that computers have greater potential for promoting more act...