Handbook of Reinforcement by Kyriakos G. Vamvoudakis (.PDF)
File Size: 20.1 MB
Handbook of Reinforcement Learning and Control by Kyriakos G. Vamvoudakis , Yan Wan , Frank L. Lewis, Derya Cansever
Requirements: .PDF reader, 20.1mb
Overview: This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology.
The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation.
Genre: Non-Fiction > Tech & Devices
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