most citedExperienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

1 citations · 1 across the 3 of their papers we have counts for

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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★ 1 cited

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…