Unlimited

Authorized users

Can lend chapters, not whole ebooks

Fundamentals of reinforcement learning / Rafael Ris-Ala.

9783031373459 (electronic bk.)
3031373456 (electronic bk.)
9783031373442
3031373448

Cham : Springer, 2023.

English

1 online resource (xv, 88 pages) : illustrations (some color)

10.1007/978-3-031-37345-9 doi

Q325.6

006.3/1

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization. This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges. Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed August 24, 2023).

Print version: 9783031373442

Online Resources > Ebooks
All Resources