This book presents state-of-the-art solution methods and applications of shastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled shastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, shastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented.
Scientific researchers and postgraduate students interested in shastic optimal control,- as well as practitioners will find this book appealing and a valuable reference.
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