Abstract— Rate adaptation plays a key role in determining the performance of wireless LANs. In this paper, we introduce a semi-Markovian framework to analyze the performance of t...
Abstract The concept of providing mobile Internet connectivity for passengers in public transport vehicles, where users connect to a local network that attaches to the Internet v...
Muhammad Ali Malik, Lavy Libman, Salil S. Kanhere,...
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
Abstract. E-institutions are envisioned as facilities on the Internet for heterogeneous software agents to perform their interactions and thus forming truly open agent systems. We ...
Frank Dignum, Virginia Dignum, John Thangarajah, L...