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ICTAI
2003
IEEE
15 years 5 months ago
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Marc Ricordeau
NIPS
2004
15 years 1 months ago
Resolving Perceptual Aliasing In The Presence Of Noisy Sensors
Agents learning to act in a partially observable domain may need to overcome the problem of perceptual aliasing
Guy Shani, Ronen I. Brafman
LREC
2010
197views Education» more  LREC 2010»
15 years 1 months ago
Automatic Annotation of Co-Occurrence Relations
We introduce a method for automatically labelling edges of word co-occurrence graphs with semantic relations. Therefore we only make use of training data already contained within ...
Dirk Goldhahn, Uwe Quasthoff
CORR
1999
Springer
118views Education» more  CORR 1999»
14 years 11 months ago
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...
Rebecca Hwa