- Добавил: literator
- Дата: 2-04-2025, 19:40
- Комментариев: 0

Автор: Alexey Piunovskiy
Издательство: World Scientific Publishing
Год: 2025
Страниц: 508
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Markov Decision Processes (MDP) is a branch of applied mathematics based on probability theory, optimal control, and mathematical analysis. Markov Decision Processes form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies often display unexpected or counterintuitive behaviors, as documented by a wide array of studies. This book gathers some of the most compelling examples of such phenomena while introducing new ones. By doing so, it serves as a valuable companion to existing textbooks. While many examples require little to no prior knowledge, others delve into advanced topics and will primarily interest specialists.