Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Graph theory: An algorithmic approach (Computer science and applied mathematics)
Graph theory: An algorithmic approach (Computer science and applied mathematics)
Optimal tuning of continual online exploration in reinforcement learning
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Dynamic Requirements Specification for Adaptable and Open Service-Oriented Systems
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
A comprehensive quality model for service-oriented systems
Software Quality Control
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A MAS architecture consisting of service centers is proposed. Within each service center, a mediator coordinates service delivery by allocating individual tasks to corresponding task specialist agents depending on their prior performance while anticipating performance of newly entering agents. By basing mediator behavior on a novel multicriteria-driven (including quality of service, deadline, reputation, cost, and user preferences) reinforcement learning algorithm, integrating the exploitation of acquired knowledge with optimal, undirected, continual exploration, adaptability to changes in agent availability and performance is ensured. The reported experiments indicate the algorithm behaves as expected and outperforms two standard approaches.