3 papers
cs.LG2020
A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations
Yexiang Chen, Subhash Lakshminarayana, Carsten Maple +1
Recently, there has been a surge of interest in adopting deep neural networks (DNNs) for solving the optimal power flow (OPF) problem in power systems. Computing optimal generation…
cs.IT2020
Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
Optimization of information freshness in wireless networks has usually been performed based on queueing analysis that captures only the temporal traffic dynamics associated with th…
cs.IT2019
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
Ali Taleb Zadeh Kasgari, Walid Saad, Mohammad Mozaffari +1
In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is proposed to provide model-free resource allocation for ultra reliable low latency communicatio…