Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
In this paper, we consider the problem of scheduling independent identical tasks on heterogeneous processors where communication times and processing times are different. We assum...
The worst-case fairness index (WFI) has proved to be an important metric in the provision of fairness and bounded delay in both wired and wireless networks. A feature of wireless l...
Sleep scheduling, which is putting some sensor nodes into sleep mode without harming network functionality, is a common method to reduce energy consumption in dense wireless sensor...
—Progress in mobile wireless technology has resulted in the increased use of mobile devices to store and manage users’ personal schedules. Users also access popular contextbase...
Igor Bilogrevic, Murtuza Jadliwala, Jean-Pierre Hu...