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136
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ICML
1998
IEEE
16 years 3 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
112
Voted
AIED
2007
Springer
15 years 8 months ago
Using Ontologies for an Effective Design of Collaborative Learning Activities
Although artificial intelligence has been successfully introduced to enhance Education through technologies in the past few years, major challenges still remain. One of them is how...
Seiji Isotani, Riichiro Mizoguchi
ICMLA
2008
15 years 4 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
ECCV
1996
Springer
16 years 4 months ago
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
We present a technique to extract complex suburban roofs from sets of aerial images. Because we combine 2-D edge information, photometric and chromatic attributes and 3-D informati...
Frank Bignone, Olof Henricsson, Pascal Fua, Markus...
115
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MIDDLEWARE
2004
Springer
15 years 8 months ago
On the benefits of decomposing policy engines into components
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Konstantin Beznosov