Computer systems increasingly rely on dynamic, phasebased system management techniques, in which system hardware and software parameters may be altered or tuned at runtime for dif...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Rapid advances in networking, hardware, and middleware technologies are facilitating the development and deployment of complex grid applications, such as large-scale distributed co...
Metacomputing systems are intended to support remote and/or concurrent use of geographically distributed computational resources. Resource management in such systems is complicate...
Karl Czajkowski, Ian T. Foster, Nicholas T. Karoni...
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...