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Reinforcement learning for cyber operations : applications of Artificial Intelligence for penetration testing / Abdul Rahman [and five others].

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Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs from supervised learning in not needing labelled input/output pairs to be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge)

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สภานภาพ

Detail Information

ชื่อชุด

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เลขหมู่

006.31 R148R 2025

ผู้จัดทำ

New Jersey : Wiley Publishing., 2025

ลักษณะวัสดุ

xxx, 256 p. : ill. ; 24 cm

ภาษา

English

ISBN/ISSN

9781394206452

หมวดหมู่

NONE

Content Type

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Media Type

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Carrier Type

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ครั้งที่จัดทำ

1

หัวเรื่อง

Reinforcement learning
Penetration testing (Computer security)

ชื่อเรื่องเพิ่ม

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Statement of Responsibility

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Other version/related

เอกสารดิจิทัล

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