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Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms

Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms

Hardcover

Series: Intelligent Systems Reference Library, Book 223

Technology & EngineeringGeneral Computers

ISBN10: 3031076125
ISBN13: 9783031076121
Publisher: Springer Nature
Published: Dec 3 2022
Pages: 243
Weight: 1.19
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
Presents recent research in decision making under uncertainty, and in particular reinforcement learning and learning with expert advice

Relate the theory to practical problems in reinforcement learning, artificial intelligence and cognitive science

Gives a thorough understanding of statistical decision theory, the meaning of hypothesis testing, automatic methods for designing and interpreting experiments and the relation of statistical decision making to human decision making

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