We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
Recently, grid computing has become a popular technology for large-scale scientific or business computing. Grid workflow system can enhance the flexibility and efficiency of the g...
Abstract. Modern systems are heterogeneous, geographically distributed and highly dynamic since the communication topology can vary and the components can, at any moment, connect t...
Dan Hirsch, Jeff Kramer, Jeff Magee, Sebasti&aacut...
Service-oriented computing paradigm encourages the use of dynamic binding of application requirements to the resources needed to fulfill application tasks. Especially in pervasive...
Nanjangud C. Narendra, Umesh Bellur, S. K. Nandy, ...
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...