Cyber-security and reinforcement learning — A brief survey-Reference-Cited by-同舟云学术

Cyber-security and reinforcement learning — A brief survey

Published:2022-09 Issue: Volume:114 Page:105116
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Adawadkar Amrin Maria Khan^ORCID,Kulkarni Nilima

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference112 articles.

1. Deep reinforcement learning at the edge of the statistical precipice;Agarwal,2021

2. DQRE-SCnet: A novel hybrid approach for selecting users in federated learning with deep-Q-reinforcement learning based on spectral clustering;Ahmadi;J. King Saud Univ., Comput. Inf. Sci.,2021

3. (ReLBT): A Reinforcement learning-enabled listen before talk mechanism for LTE-LAA and Wi-Fi coexistence in IoT;Ali;Comput. Commun.,2020

4. SecOFF-FCIoT: ML based secure offloading in fog-cloud of things for smart city applications;Alli;Internet of Things,2019

5. Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning;Alqahtani;Energy,2022

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1. Robust and efficient task scheduling for robotics applications with reinforcement learning;Engineering Applications of Artificial Intelligence;2024-01

2. A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions;IEEE Access;2024

3. Reinforcement learning algorithms: A brief survey;Expert Systems with Applications;2023-11

4. Deep Reinforcement Learning for intrusion detection in Internet of Things: Best practices, lessons learnt, and open challenges;Computer Networks;2023-11

5. A reinforcement learning-based transformed inverse model strategy for nonlinear process control;Computers & Chemical Engineering;2023-10