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A Kernel-Based Reinforcement Learning Approach to Dynamic Behavior Modeling of Intrusion Detection
Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science
◽
10.1007/978-3-540-72383-7_54
◽
2007
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pp. 455-464
◽
Cited By ~ 4
Author(s):
Xin Xu
◽
Yirong Luo
Keyword(s):
Reinforcement Learning
◽
Intrusion Detection
◽
Dynamic Behavior
◽
Behavior Modeling
◽
Learning Approach
Download Full-text
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References
A Reinforcement Learning Approach for Host-Based Intrusion Detection Using Sequences of System Calls
Lecture Notes in Computer Science - Advances in Intelligent Computing
◽
10.1007/11538059_103
◽
2005
◽
pp. 995-1003
◽
Cited By ~ 16
Author(s):
Xin Xu
◽
Tao Xie
Keyword(s):
Reinforcement Learning
◽
Intrusion Detection
◽
Learning Approach
◽
System Calls
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A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System
2020 IEEE 9th International Conference on Cloud Networking (CloudNet)
◽
10.1109/cloudnet51028.2020.9335796
◽
2020
◽
Author(s):
Ying-Feng Hsu
◽
Morito Matsuoka
Keyword(s):
Reinforcement Learning
◽
Intrusion Detection
◽
Intrusion Detection System
◽
Detection System
◽
Network Intrusion Detection
◽
Learning Approach
◽
Network Intrusion
◽
Network Intrusion Detection System
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Service Chaining Offloading Decision in the EdgeAI: A Deep Reinforcement Learning Approach
2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)
◽
10.23919/apnoms50412.2020.9237048
◽
2020
◽
Author(s):
Minkyun Lee
◽
Choong Seon Hong
Keyword(s):
Reinforcement Learning
◽
Learning Approach
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Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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10.23919/date48585.2020.9116574
◽
2020
◽
Author(s):
Florian Maurer
◽
Bryan Donyanavard
◽
Amir M. Rahmani
◽
Nikil Dutt
◽
Andreas Herkersdorf
Keyword(s):
Reinforcement Learning
◽
Learning Approach
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Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach
China Communications
◽
10.23919/jcc.2020.10.009
◽
2020
◽
Vol 17
(10)
◽
pp. 129-141
Author(s):
Yiwen Nie
◽
Junhui Zhao
◽
Jun Liu
◽
Jing Jiang
◽
Ruijin Ding
Keyword(s):
Reinforcement Learning
◽
Energy Efficient
◽
Learning Approach
◽
Trajectory Design
◽
Backscatter Communication
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Policy based reinforcement learning approach Of Jobshop scheduling with high level deadlock detection
10.31274/etd-180810-1488
◽
2014
◽
Author(s):
Mengmeng Chen
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Deadlock Detection
◽
Jobshop Scheduling
◽
High Level
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Author response for "Deep learning and reinforcement learning approach on microgrid"
10.1002/2050-7038.12531/v2/response1
◽
2020
◽
Author(s):
Kumar Chandrasekaran
◽
Prabaakaran Kandasamy
◽
Srividhya Ramanathan
Keyword(s):
Deep Learning
◽
Reinforcement Learning
◽
Author Response
◽
Learning Approach
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Attentional Shifting and Curiosity: a Reinforcement Learning Approach
10.21528/cbic2013-256
◽
2016
◽
Author(s):
Dario di Nocera
◽
Alberto Finzi
◽
Silvia Rossi
◽
Mariacarla Staffa
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Attentional Shifting
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Simulation-based Reinforcement Learning Approach towards Construction Machine Automation
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC)
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10.22260/isarc2020/0064
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2020
◽
Author(s):
Keita Matsumoto
◽
Atsushi Yamaguchi
◽
Takahiro Oka
◽
Masahiro Yasumoto
◽
Satoru Hara
◽
...
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Construction Machine
◽
Simulation Based
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Exploring the Possibilities of Co-Simulation with CATIA V6 Dynamic Behavior Modeling
SNE Simulation Notes Europe
◽
10.11128/sne.23.sn.10205
◽
2013
◽
Vol 23
(3-4)
◽
Cited By ~ 1
Author(s):
Peter Smolek
◽
Bernhard Heinzl
◽
Horst Ecker
◽
Felix Breitenecker
Keyword(s):
Dynamic Behavior
◽
Behavior Modeling
Download Full-text
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