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114
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
99
Voted
ICANNGA
2007
Springer
15 years 2 months ago
2007
Springer
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
121
Voted
ECAI
1990
Springer
15 years 4 months ago
1990
Springer
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
FLAIRS
2009
14 years 10 months ago
2009
The predicates that are used to encode a planning domain in PDDL often do not include concepts that are important for effectively reasoning about problems in the domain. In partic...
101
Voted
AIED
2009
Springer
14 years 10 months ago
2009
Springer
In previous works, we showed how sequential pattern mining can be used to extract a partial problem space from logged user interactions for a procedural and ill-defined domain wher...