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...
Sensor replacement is important for sensor networks to provide continuous sensing services. Upon sensor node failures, holes (uncovered areas) may appear in the sensing coverage. ...
Yongguo Mei, Changjiu Xian, Saumitra M. Das, Y. Ch...
The process of scheduling computations for Internet-based computing presents challenges not encountered with more traditional platforms for parallel and distributed computing. The...
— Distributed Hash Table (DHT) based algorithms have been proposed to solve the routing issues in large-scale Peer-to-Peer (P2P) applications. DHT systems create an elegant Peer-...
This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...