2665 search results - page 183 / 533 » Bundle Methods for Machine Learning |
131
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
115
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
126
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ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
97
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ICALT
2006
IEEE
15 years 8 months ago
2006
IEEE
This paper describes how visual and verbal learning styles have been successfully integrated into an adaptive educational environment. User trials of this system were carried out,...
117
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ICANN
2009
Springer
15 years 7 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...