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AAAI
2006
13 years 7 months ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
CC
2006
Springer
124views System Software» more  CC 2006»
13 years 9 months ago
Polyhedral Code Generation in the Real World
The polyhedral model is known to be a powerful framework to reason about high level loop transformations. Recent developments in optimizing compilers broke some generally accepted ...
Nicolas Vasilache, Cédric Bastoul, Albert C...
IEAAIE
2005
Springer
13 years 11 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
MVA
2007
281views Computer Vision» more  MVA 2007»
13 years 7 months ago
Evaluation of Stereo Matching Systems for Real World Applications Using Structured Light for Ground Truth Estimation
In this paper we present an evaluation method for stereo matching systems and sensors especially for real world indoor applications. We estimate ground truth reference images by i...
Martin Humenberger, Daniel Hartermann, Wilfried Ku...
ATAL
2007
Springer
13 years 11 months ago
Children in the forest: towards a canonical problem of spatio-temporal collaboration
Canonical problems are simplified representations of a class of real world problems. They allow researchers to compare algorithms in a standard setting which captures the most im...
Yi Luo, Ladislau Bölöni