Items related to Reinforcement Learning: Theory, Algorithms, and Applications
Synopsis
This book is a comprehensive guide to one of the most exciting fields in artificial intelligence. This book blends foundational theory with cutting-edge algorithms and real-world applications, offering readers a practical and intuitive understanding of how intelligent agents learn through interaction.
Designed for students, researchers, and professionals, the book covers key concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, temporal difference learning, deep reinforcement learning, and multi-agent systems. With a balance of mathematical rigor and accessible explanations, it serves as both a learning resource and a reference guide for applying RL to solve complex problem across domains.
"synopsis" may belong to another edition of this title.
Search results for Reinforcement Learning: Theory, Algorithms, and Applications
Stock Image
Reinforcement Learning
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798899615450
Stock Image
Reinforcement Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798899615450
Buy New
US$ 78.48
US$ 6.77 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Seller Image
Reinforcement Learning : Theory, Algorithms, and Applications
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware - This book is a comprehensive guide to one of the most exciting fields in artificial intelligence. This book blends foundational theory with cutting-edge algorithms and real-world applications, offering readers a practical and intuitive understanding of how intelligent agents learn through interaction.Designed for students, researchers, and professionals, the book covers key concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, temporal difference learning, deep reinforcement learning, and multi-agent systems. With a balance of mathematical rigor and accessible explanations, it serves as both a learning resource and a reference guide for applying RL to solve complex problem across domains. Seller Inventory # 9798899615450
Buy New
US$ 124.12
US$ 73.56 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available