Decision Making Under Uncertainty and Reinforcement Learning Theory and Algorithms
Dimitrakakis, Christos
Decision Making Under Uncertainty and Reinforcement Learning Theory and Algorithms by Christos Dimitrakakis, Ronald Ortner - 1st edition 2022 - 1 recurso en línea (XIII, 243 páginas) 67 ilustraciones, 62 ilustraciones a color - Intelligent Systems Reference Library 223 1868-4408 .
Introduction -- Subjective probability and utility -- Decision problems -- Estimation. .
This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning. .
9783031076145
10.1007/978-3-031-07614-5 doi
Decision Making Under Uncertainty and Reinforcement Learning Theory and Algorithms by Christos Dimitrakakis, Ronald Ortner - 1st edition 2022 - 1 recurso en línea (XIII, 243 páginas) 67 ilustraciones, 62 ilustraciones a color - Intelligent Systems Reference Library 223 1868-4408 .
Introduction -- Subjective probability and utility -- Decision problems -- Estimation. .
This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning. .
9783031076145
10.1007/978-3-031-07614-5 doi