We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
Abstract. An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple ...
—Peer-to-peer (P2P) file sharing systems are becoming increasingly popular due to their flexibility and scalability. We propose a new model to design file replication schemes ...
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Abstract. Modern parallel and distributed computing solutions are often built onto a “middleware” software layer providing a higher and common level of service between computat...
Emanuele Di Saverio, Marco Cesati, Christian Di Bi...