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ICML
1994
IEEE
13 years 8 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
PPSN
2004
Springer
13 years 10 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
EWSA
2006
Springer
13 years 8 months ago
On the Modular Representation of Architectural Aspects
An architectural aspect is a concern that cuts across architecture ty units and cannot be effectively modularized using the given abstractions of conventional Architecture Descript...
Alessandro Garcia, Christina Chavez, Thaís ...
DSN
2000
IEEE
13 years 9 months ago
Resource Scheduling in Dependable Integrated Modular Avionics
In the recent development of avionics systems, Integrated Modular Avionics (IMA) is advocated for next generation architecture that needs integration of mixedcriticality real-time...
Yann-Hang Lee, Daeyoung Kim, Mohamed F. Younis, Je...
DAGSTUHL
1994
13 years 6 months ago
A Distributed Control Architecture for Autonomous Robot Systems
The main advantage of distributed controlled robots and subsystems is the decentralized task execution by the system components. This way, properties for the design of flexible co...
Thomas Laengle, Tim Lüth, Ulrich Rembold