EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Reinforcement Learning And Approximate Dynamic Programming For Feedback Control 1st Edition Frank L Lewis

Name: Reinforcement Learning And Approximate Dynamic Programming For Feedback Control 1st Edition Frank L Lewis
SKU: BELL-4128454
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (36 reviews)

SKU: BELL-4128454

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

36 reviews

Reinforcement Learning And Approximate Dynamic Programming For Feedback Control 1st Edition Frank L Lewis instant download after payment.

Publisher: Wiley-IEEE Press

File Extension: PDF

File size: 44.48 MB

Pages: 648

Author: Frank L. Lewis, Derong Liu

ISBN: 9781118104200, 111810420X

Language: English

Year: 2012

Edition: 1

Product desciption

Reinforcement Learning And Approximate Dynamic Programming For Feedback Control 1st Edition Frank L Lewis by Frank L. Lewis, Derong Liu 9781118104200, 111810420X instant download after payment.

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.