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ICML
2006
IEEE
16 years 3 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
GD
2001
Springer
15 years 7 months ago
Low-Distortion Embeddings of Trees
We prove that every tree T = (V, E) on n vertices with edges of unit length can be embedded in the plane with distortion O( √ n); that is, we construct a mapping f: V → R2 suc...
Robert Babilon, Jirí Matousek, Jana Maxov&a...
95
Voted
AIPS
2008
15 years 4 months ago
An Online Learning Method for Improving Over-Subscription Planning
Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
Sung Wook Yoon, J. Benton, Subbarao Kambhampati
TLT
2008
93views more  TLT 2008»
15 years 2 months ago
What Do You Prefer? Using Preferences to Enhance Learning Technology
While the growing number of learning resources increases the choice for learners on how, what and when to learn, it also makes it more and more difficult to find the learning resou...
Philipp Kärger, Daniel Olmedilla, Fabian Abel...
124
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SCHEDULING
2008
72views more  SCHEDULING 2008»
15 years 2 months ago
The impact of local policies on the quality of packet routing in paths, trees, and rings
We consider the packet routing problem in store-and-forward networks whose topologies are either paths, trees, or rings. We are interested by the quality of the solution produced,...
Eric Angel, Evripidis Bampis, Fanny Pascual