Patrick Walters – författare
Visar alla böcker från författaren Patrick Walters. Handla med fri frakt och snabb leverans.
5 produkter
Einstein's Mirror
Häftad, 1997
1074 kr
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Einstein's Mirror is a book on relativity with a difference. Following the successful format of their earlier book, The Quantum Universe, the authors blend a simple, non-mathematical account of the underlying theory of special relativity and gravitation with a description of the way these theories …
The New Quantum Universe
Häftad, 2003
667 kr
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Following the success of The Quantum Universe, first published in 1987, a host of exciting new discoveries have been made in the field of quantum mechanics. The New Quantum Universe provides an up-to-date and accessible introduction to the essential ideas of quantum physics, and demonstrates how it …
Reinforcement Learning for Optimal Feedback Control
A Lyapunov-Based Approach
Av Rushikesh Kamalapurkar, Patrick Walters m. fl.
Häftad, 2018
1750 kr
Lägg i varukorg
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system …
Reinforcement Learning for Optimal Feedback Control
A Lyapunov-Based Approach
Av Rushikesh Kamalapurkar, Patrick Walters m. fl.
Inbunden, 2018
1750 kr
Lägg i varukorg
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system …
Reinforcement Learning for Optimal Feedback Control
A Lyapunov-Based Approach
Av Warren Dixon, Joel Rosenfeld m. fl.
E-bok, 2018
2274 kr
Lägg i varukorg
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system …
