IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference – paperbac…
Condition Notes: Book is in very good condition and may include minimal underlining highlighting.
A History of the Federal Reserve, Volume 1: 1913-1951 – Paperback – GOOD
A History of the Federal Reserve, Volume 1: 1913-1951 - Paperback - GOOD Product Id:0226520005 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...
GEORGE POLYA: COLLECTED PAPERS, VOLUME 2: LOCATION OF By R. P. Boas *BRAND NEW*
GEORGE POLYA: COLLECTED PAPERS, VOLUME 2: LOCATION OF ZEROS (MATHEMATICIANS OF OUR TIME) By R. P. Boas **BRAND NEW**.
Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,…
"Reinforcement Learning, Second Edition: an Introduction" by Richard S. Sutton and Andrew G. Barto is a textbook published by MIT Press in 2018. It is part of the Adaptive Computation and Machine Learning Series and covers subjects such as programming, algorithms, neural networks, and artificial intelligence. The book is a comprehensive introduction to reinforcement learning, a subfield of machine learning that deals with training agents to make decisions based on reward feedback. With 552 pages, this hardcover textbook is a valuable resource for those interested in the field of reinforcement learning.
Reinforcement Learning, second edition: An Introduction (Adaptive Computation ..
Release Date: 2018-11-13. Condition: Used: Excellent. Sku: 04A02010C00045U. Author: Sutton, Richard S.; Barto, Andrew G. Qty Available: 1.
Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,…
A nice touch in this textbook is the running glossary in the margins.
Reinforcement Learning, second edition: An Introduction (Adaptive Computation ..
Release Date: 2018-11-13. Condition: Used: Excellent. Sku: 04B04004C00087U. Author: Sutton, Richard S.; Barto, Andrew G. Qty Available: 1.
Reinforcement Learning, second Edition by Sutton Richard S. New (Hardcover)
The product is the second edition of "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto, published by MIT Press in 2018. This textbook covers the subject areas of programming, algorithms, neural networks, and artificial intelligence, with a focus on reinforcement learning. The book is part of the Adaptive Computation and Machine Learning series and is written in English. It is a comprehensive resource for those interested in learning about reinforcement learning techniques and their applications in various fields.
Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,…
The product is the second edition of the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto. Published by MIT Press in 2018, this textbook is part of the Adaptive Computation and Machine Learning Ser. It covers the subject areas of programming, algorithms, neural networks, and artificial intelligence, with a focus on reinforcement learning. The book is hardcover format, 552 pages long, and written in English. It is a valuable resource for students and professionals interested in machine learning and artificial intelligence.
Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,…
Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning.
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