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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/32826

Title: Collaborative reinforcement learning of autonomic behaviour.
Other Titles: Proceedings 15th International Workshop on Database and Expert Systems Applications, 2004.
15th International Workshop on Database and Expert Systems Applications (DEXA '04)
Author: CAHILL, VINNY
Author's Homepage: http://people.tcd.ie/vjcahill
Keywords: Computer Science
Issue Date: 2004
Publisher: IEEE Computer Society Press
Citation: Jim Dowling, Raymond Cunningham, Eoin Curran, and Vinny Cahill., Collaborative reinforcement learning of autonomic behaviour., Proceedings 15th International Workshop on Database and Expert Systems Applications, 2004., 15th International Workshop on Database and Expert Systems Applications (DEXA '04), 30 Aug.-3 Sept, IEEE Computer Society Press, 2004, 700-704
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.
Description: PUBLISHED
URI: http://hdl.handle.net/2262/32826
Appears in Collections:Computer Science (Scholarly Publications)

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