Our research addresses the efficient transfer of large data across wide-area networks, focusing on applications like remote visualization and real-time collaboration. To attain h...
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
—Optimal scheduling for concurrent transmissions in rate-nonadaptive wireless networks is NP-hard. Optimal scheduling in rate-adaptive wireless networks is even more difficult, ...
Current asynchronous tools are focussed mainly on the design of a single interface module. In many applications, one must design interacting interface modules that potentially comm...
Many parallel applications from scientific computing use MPI global communication operations to collect or distribute data. Since the execution times of these communication opera...