Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
In this paper, we present ROAD, a general framework to evaluate Location-Dependent Spatial Queries (LDSQ)s that searches for spatial objects on road networks. By exploiting search...
Completion procedures, originated from the seminal work of Knuth and Bendix, are wellknown as procedures for generating confluent rewrite systems, i.e. decision procedures for al ...
Abstract. Research works and surveys focusing on e-Government Digital Services availability and usage, reveal that often services are available but ignored by citizens. In our hypo...
Flavio Corradini, Damiano Falcioni, Andrea Polini,...
Abstract— The convergence of the wireline telecom, wireless telecom, and internet networks and the services they provide offers tremendous opportunities in services personalizati...
Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Ku...