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 label…
While there is literature about the maritime transportation system, and about cyber security, to date there is very little literature on this converging area. This pioneering book is beneficial to a variety of audiences, as a text book in courses looking at risk analysis, national security, cyber threats, or maritime policy; and for practitioners in government and the private sector interested …
"This book offers the first comprehensive examination of Israeli policies and practice in both the civil and military cyber realms and insights into what other countries can learn from its experience. The book is designed for cyber theorists and practitioners, people interested in the Middle East, and general audiences. It explores how and why Israel has become a global cyber power, despite its…