Deep Multi-Task Conditional and Sequential Learning for Anti-Jamming

Multi-task learning provides plenty of room for performance improvement to single-task learning, when learned tasks are related and learned with mutual information. In this work, we analyze the efficiency of using a single-task reinforcement learning algorithm to mitigate jamming attacks with freque...

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Bibliographic Details
Main Authors: Robert Basomingera, Young-June Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9528307/