Technical Note: \cal Q-Learning
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Network Management: State of the Art
Proceedings of the IFIP 17th World Computer Congress - TC6 Stream on Communication Systems: The State of the Art
Policy-Based Autonomic Control Service
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
A Goal-based Approach to Policy Refinement
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Towards Self-Configuring Hardware for Distributed Computer Systems
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Policy-based Adaptable Service Systems Architecture
AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
The policy continuum-Policy authoring and conflict analysis
Computer Communications
IEEE Communications Magazine
An automated policy-based management framework for differentiated communication systems
IEEE Journal on Selected Areas in Communications
Enhancing a Fuzzy Logic Inference Engine through Machine Learning for a Self- Managed Network
Mobile Networks and Applications
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This paper outlines research in progress intended to contribute to the autonomous management of networks, allowing policies to be dynamically adjusted and aligned to application directives according to the available resources. Many existing management approaches require static a priori policy deployment but our proposal goes one step further modifying initially deployed policies by learning from the system behaviour. We use a hierarchical policy model to show the connection of high level goals with network level configurations. We also intend to solve two important and mostly forgotten issues: the system has multiple goals some of them contradictory and we will show how to overcome it; and, some current works optimize one network element but being unaware of other participants; instead, our proposed scheme takes into account various social behaviours, such as cooperation and competition among different elements.