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» On Universal Transfer Learning
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IJCAI
2007
13 years 10 months ago
Building Portable Options: Skill Transfer in Reinforcement Learning
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
George Konidaris, Andrew G. Barto
IFIP3
1998
106views Education» more  IFIP3 1998»
13 years 9 months ago
Conception and Realization of the Offline Navigator in the Virtual University
The concept of the Virtual University offers a new learning environment for distance education. All the functionalities of a conventional university are available to the students ...
Thomas Demuth, Andreas Rieke, Dagmar Sommer
NIPS
2008
13 years 10 months ago
Transfer Learning by Distribution Matching for Targeted Advertising
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
Steffen Bickel, Christoph Sawade, Tobias Scheffer
DAGM
2009
Springer
14 years 3 months ago
Learning with Few Examples by Transferring Feature Relevance
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
Erik Rodner, Joachim Denzler
IJCAI
2007
13 years 10 months ago
An Experts Algorithm for Transfer Learning
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
Erik Talvitie, Satinder Singh