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ICAC
2009
IEEE
13 years 1 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
ICAC
2009
IEEE
13 years 7 months ago
A decentralized, architecture-based framework for self-growing applications
In large-scale, distributed software systems, an important management undertaking concerns the creation and runtime modification of application instances. This short paper propose...
Ada Diaconescu, Philippe Lalanda