Control Systems and Reinforcement Learning, Hardback

The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for both research and application of reinforcement learning and optimal control techniques.

• Publisher: Cambridge University Press
• Author(s): Sean (University of Florida) Meyn
• Illustration(s): Worked examples or Exercises
• Number of pages: 450
• Publication date: 2022
• Dimensions: 183 x 262 x 28
• Cover type: Hardback