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[PUBDB-2024-05623-1]
Book
Sutton, R. S. ; Barto, A. G.
Reinforcement learning: an introduction
Cambridge, Massachusetts : The MIT Press, Adaptive computation and machine learning : Second edition, 1 Online-Ressource (xxii, 526 pages : illustrations, diagrams) ([2020])[2020]
"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."
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Milton : Taylor & Francis Group (2026)2026
This book provides an accessible introduction to mathematical methods essential for physics, engineering, and modern computational analysis, starting from foundational topics ending with more powerful techniques. This is an ideal textbook for advanced undergraduate and graduate students, equipping readers with a versatile toolkit of methods
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McFedries, P.
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Newark : John Wiley & Sons, Incorporated (2026)2026
Your guide to the programming language that's revolutionizing software d evelopment Ready to learn Rust, the language that combines blazing performance with memory safety?Rust All-in-One For Dummies takes you from complete beginner to confident developer, covering the essentials of writing Rust code through applying it to real-world projects
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