92 search results - page 5 / 19 » Learning valued preference structures for solving classifica... |
ATAL
2004
Springer
15 years 2 months ago
2004
Springer
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
AMEC
2003
Springer
15 years 2 months ago
2003
Springer
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
JMLR
2006
14 years 9 months ago
2006
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
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We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...