495 search results - page 47 / 99 » Constructing States for Reinforcement Learning |
141
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ICRA
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
165
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ECML
2007
Springer
15 years 6 months ago
2007
Springer
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
141
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ATAL
2008
Springer
15 years 6 months ago
2008
Springer
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
137
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ECAL
2005
Springer
15 years 9 months ago
2005
Springer
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
172
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AAAI
1996
15 years 5 months ago
1996
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...