In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
New Internet services and technologies call for higher packet switching capacities in the core network. Thus, a performance bottleneck arises at the backbone routers, as forwarding...
Dual Consistency (DC) is a property of Constraint Networks (CNs) which is equivalent, in its unrestricted form, to Path Consistency (PC). The principle is to perform successive sin...
Web Services are becoming the prominent paradigm for distributed computing and electronic businesses. This makes natural the extension of the concepts at the base of the workflow ...
Francesco Calabrese, Giovanni Di Dio, Anna Rita Fa...
— We consider a distributed system modeled as a possibly large network of automata. Planning in this system consists in selecting and organizing actions in order to reach a goal ...