Published July 1, 2023
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A comprehensive survey on reinforcement-learning-based computation offloading techniques in Edge Computing Systems
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This paper presents a comprehensive and detailed survey, where we analyse and classify the research papers in terms of use cases, network and edge computing architectures, objectives, RL algorithms, decision-making approaches, and time-varying characteristics considered in some scenarios, particularly on those related to the computation offloading problem in edge systems.
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