Distributed reinforcement learning of autonomic behaviour.
Citation:
Jim Dowling, Raymond Cunningham, Eoin Curran, and Vinny Cahill., Distributed reinforcement learning of autonomic behaviour., 2nd International Workshop on Self-Adaptive and Autonomic Computing Systems (SAACS'04), Zaragoza, Spain, September, 2004Download Item:
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Abstract:
This paper introduces Collaborative Reinforcement
Learning (CRL), a coordination model for solving
system-wide optimisation problems in distributed systems
where there is no support for global state. In
CRL the autonomic properties of a distributed system
emerge from the coordination of individual agents solving
discrete optimisation problems using Reinforcement
Learning. In the context of an ad hoc routing protocol,
we show how system-wide optimisation in CRL can be
used to establish and maintain autonomic properties for
decentralised distributed systems.
Author's Homepage:
http://people.tcd.ie/vjcahillDescription:
PUBLISHEDZaragoza, Spain
Winner Best Paper Award.
Author: CAHILL, VINNY
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2nd International Workshop on Self-Adaptive and Autonomic Computing Systems (SAACS'04)Type of material:
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