Can I read Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (IEEE Press Series on Computational Intelligence) on EtoBox?

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (IEEE Press Series on Computational Intelligence) by Frank L. Lewis, Derong Liu, Derong Liu is a nonfiction available to read on EtoBox.

What is Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (IEEE Press Series on Computational Intelligence) about?

1 online resource "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"-- "Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"-- Description based on print version record and CIP data provided by publisher

Who reads Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (IEEE Press Series on Computational Intelligence)?

Author

Frank L. Lewis, Derong Liu, Derong Liu

Publisher

Wiley-IEEE Press

Published

2012

Language

EN

ISBN

9781118453964

Category

nonfiction

Subjects

Engineering, Computer Science, Psychology