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...
Abstract. Grids are becoming more and more dynamic, running parallel applications on large scale and heterogeneous resources. Explicitly stopping a whole distributed application is...
— We consider the novel problem of dynamically assigning application sessions of mobile users or user groups to service points. Such assignments must balance the tradeoff between...
The provision of ubiquitous services in Mobile Ad-hoc Networks (MANETs) is a great challenge, considering the bandwidth, mobility, and computational-resources constraints exhibited...
Shafique Ahmad Chaudhry, Faysal Adeem Siddiqui, Al...
In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...