Decision making under uncertainty and reinforcement learning : theory and algorithms

著者

• Dimitrakakis, Christos
• Ortner, Ronald

書誌事項

Decision making under uncertainty and reinforcement learning : theory and algorithms

Christos Dimitrakakis, Ronald Ortner

（Intelligent systems reference library, v. 223）

Springer, c2022

• hbk.

内容説明・目次

内容説明

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.

目次

Introduction.- Subjective probability and utility.- Decision problems.- Estimation.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BD00485062
• ISBN:
  • 9783031076121
• 出版国コード: sz
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cham
• ページ数/冊数: xiii, 243 p.
• 大きさ: 25 cm
• 分類:
  • DC23 : 658.4033
• 件名:
  • LCSH : Decision making -- Mathematical models
  • LCSH : Uncertainty
  • LCSH : Reinforcement learning
• 親書誌ID:
  • BA91258560