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KI
2004
Springer
14 years 3 months ago
Decision-Theoretic Planning for Playing Table Soccer
Abstract. Table soccer (also called “foosball”) is much simpler than real soccer. Nevertheless, one faces the same challenges as in all other robotics domains. Sensors are nois...
Moritz Tacke, Thilo Weigel, Bernhard Nebel
NIPS
1994
13 years 11 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
CVPR
2010
IEEE
14 years 6 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
MIR
2006
ACM
195views Multimedia» more  MIR 2006»
14 years 4 months ago
Automatically selecting shots for action movie trailers
Movie trailers, or previews, are an important method of advertising movies. They are extensively shown before movies in cinemas, as well as on television and increasingly, over th...
Alan F. Smeaton, Bart Lehane, Noel E. O'Connor, Co...
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 3 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen