670 search results - page 29 / 134 » Brain-Like Approximate Reasoning |
106
Voted
ICML
1995
IEEE
16 years 1 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
104
Voted
ECAI
2006
Springer
15 years 4 months ago
2006
Springer
The fundamental operation of dominance testing, i.e., determining if one alternative is preferred to another, is in general very hard for methods of reasoning with qualitative cond...
CAD
2008
Springer
15 years 26 days ago
2008
Springer
Curves on surfaces play an important role in computer-aided geometric design. Because of the considerably high degree of exact curves on surfaces, approximation algorithms are pre...
100
Voted
LICS
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
84
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...