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162
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ECML
2005
Springer
16 years 2 days ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
169
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NIPS
2008
15 years 8 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
165
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JFR
2006
15 years 6 months ago
2006
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
189
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ECML
2003
Springer
15 years 11 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
187
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ICWL
2007
Springer
16 years 21 days ago
2007
Springer
It is indeed important to implement e-Learning platforms for education and training purposes in a variety of domains. However, facing the enormous amount of learning resources, gui...