—In this paper, we study the interactions of user-based congestion control algorithms and router-based switch scheduling algorithms. We show that switch scheduling algorithms tha...
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
Earlier work on scheduling by autonomous systems has demonstrated that schedules in the form of simple temporal networks, with intervals of values for possible event-times, can be ...
This paper presents Interleaved Stratified Timer Wheels as a novel priority queue data structure for traffic shaping and scheduling in packet-switched networks. The data structure ...
Heterogeneous multicore processors promise high execution
efficiency under diverse workloads, and program scheduling is
critical in exploiting this efficiency. This paper present...