Description: Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox (IEEE Press Series on Control Systems Theory and Applications)by Farsi, Milad; Liu, Jun Description: It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.Product ID: 111980857X-8-1
Price: 95.2 USD
Location: Philadelphia, Pennsylvania
End Time: 2024-11-12T17:29:42.000Z
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Book Title: Model-Based Reinforcement Learning: From Data to Continuous Actio
Number of Pages: 272 Pages
Language: English
Publication Name: Model-Based Reinforcement Learning : from Data to Continuous Actions with a Python-Based Toolbox
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2022
Item Height: 0.6 in
Subject: System Theory, Applied, Programming Languages / Python
Type: Textbook
Item Weight: 22.3 Oz
Subject Area: Mathematics, Computers, Science
Item Length: 9 in
Author: Jun Liu, Milad Farsi
Item Width: 6 in
Series: IEEE Press Series on Control Systems Theory and Applications Ser.
Format: Hardcover
