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» Controlling Complexity
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112
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NECO
2002
105views more  NECO 2002»
15 years 2 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
129
Voted
SASO
2010
IEEE
15 years 15 days ago
A Decentralised Architecture for Multi-objective Autonomic Management
Designing and organising large numbers of autonomic resources into a coherent system is a difficult endeavour. It necessitates handling complex interactions among dynamic, heteroge...
Sylvain Frey, Philippe Lalanda, Ada Diaconescu
126
Voted
CCS
2007
ACM
15 years 8 months ago
A simple and expressive semantic framework for policy composition in access control
In defining large, complex access control policies, one would like to compose sub-policies, perhaps authored by different organizations, into a single global policy. Existing po...
Glenn Bruns, Daniel S. Dantas, Michael Huth
125
Voted
UMUAI
2010
136views more  UMUAI 2010»
15 years 1 months ago
Towards affective camera control in games
Information about interactive virtual environments, such as games, is perceived by users through a virtual camera. While most interactive applications let users control the camera,...
Georgios N. Yannakakis, Héctor Perez Mart&i...
123
Voted
CONCUR
2000
Springer
15 years 7 months ago
The Control of Synchronous Systems
In the synchronous composition of processes, one process may prevent another process from proceeding unless compositions without a wellde ned productbehavior are ruled out. They ca...
Luca de Alfaro, Thomas A. Henzinger, Freddy Y. C. ...