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12/24/2021
Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning
Due to the scarcity in the wireless spectrum and limited energy resource...
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12/08/2021
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing
We address the problem of sequentially selecting and observing processes...
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05/12/2021
Anomaly Detection via Controlled Sensing and Deep Active Inference
In this paper, we address the anomaly detection problem where the object...
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09/28/2020
Anomaly Detection and Sampling Cost Control via Hierarchical GANs
Anomaly detection incurs certain sampling and sensing costs and therefor...
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07/12/2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
As the applications of deep reinforcement learning (DRL) in wireless com...
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08/28/2019
Deep Actor-Critic Reinforcement Learning for Anomaly Detection
Anomaly detection is widely applied in a variety of domains, involving f...
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08/20/2019
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access
To make efficient use of limited spectral resources, we in this work pro...
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05/13/2019
Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks
The growing demand on high-quality and low-latency multimedia services h...
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10/08/2018
Actor-Critic Deep Reinforcement Learning for Dynamic Multichannel Access
We consider the dynamic multichannel access problem, which can be formul...
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09/26/2018
Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks
Recently, wireless caching techniques have been studied to satisfy lower...
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12/21/2017