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110
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FORTE
2007
15 years 4 months ago
2007
Model programs are a useful formalism for software testing and design analysis. They are used in industrial tools, such as SpecExplorer, as a compact, expressive and precise way to...
122
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COGSR
2011
14 years 10 months ago
2011
This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...
135
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
141
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ALT
2004
Springer
16 years 10 days ago
2004
Springer
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
135
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ALT
1998
Springer
15 years 7 months ago
1998
Springer
Exact learning of half-spaces over finite subsets of IRn from membership queries is considered. We describe the minimum set of labelled examples separating the target concept from ...