3114 search results - page 206 / 623 » Distributed Case-Based Learning |
106
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
104
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ECML
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
ICDS
2009
IEEE
15 years 8 months ago
2009
IEEE
The University of the Digital Society is based on interactions that facilitate learning in a new pragmatic context. Catalysts involved in the learning process replace the traditio...
135
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COLT
2010
Springer
14 years 11 months ago
2010
Springer
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
132
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JMLR
2012
13 years 4 months ago
2012
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...