In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
DIET (Distributed Interactive Engineering Toolbox) is a set of hierarchical components to design Network Enabled Server (NES) systems. In these systems, clients ask to agents (dis...
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Service-based systems have many applications, including collaborative research and development, e-business, health care, environmental control, military applications, and homeland...
Stephen S. Yau, Hasan Davulcu, Supratik Mukhopadhy...
One of the key steps in economy based grid resource allocation is to make reasonable prices for the grid resources. For resources’ prices decide the resource flow in the Grid, f...