TY  - BOOK
AU  - Rahman,Abdul
TI  - Reinforcement learning for cyber operations: applications of Artificial Intelligence for penetration testing 
SN  - 9781394206452
AV  - Q325.6 .R34 2025
U1  - 006.3/1 23/eng/20241209
PY  - 2025///]
CY  - Hoboken, New Jersey
PB  - Wiley
KW  - Reinforcement learning
KW  - Penetration testing (Computer security)
KW  - Electronic books
N1  - Includes index
N2  - "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)."--
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9781394206483
ER  -