We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
This paper presents an approach for managing access to services over presence-based communications based on the context of the situation. This paper addresses two technical challe...
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
A major advantage of service-based computing technology is the ability to enable rapid formation of large-scale distributed systems by composing massively available services to ac...
Stephen S. Yau, Yisheng Yao, Zhaoji Chen, Luping Z...
In this paper, we describe the middleware that has evolved from our attempt to capture user descriptions of policies controlling devices and services from natural language. Descri...
Bill Keller, Tim Owen, Ian Wakeman, Julie Weeds, D...