This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
: We present an implementation of a multi-agent system whose goal is to solve the problem of tacit knowledge transfer by means of sharing of experiences. In particular, we consider...
Enrico Blanzieri, Paolo Giorgini, Claudio Zanoni, ...
The behavior of an agent is defined through the specification of plans and actions. Agents have a set of plans that are selected to be executed according to their goals (and other...
Viviane Torres da Silva, Ricardo Choren, Carlos Jo...
Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In ord...
In this paper we present the initial specification of a system that covers both the control and management planes of network operation, with emphasis on fault, performance, and co...
Stelios Sartzetakis, Panos Georgatsos, George E. K...