Reinforcement learning and approximate dynamic programming for feedback control - Info and Reading Options
By Frank L. Lewis
“Reinforcement learning and approximate dynamic programming for feedback control” Metadata:
- Title: ➤ Reinforcement learning and approximate dynamic programming for feedback control
- Author: Frank L. Lewis
“Reinforcement learning and approximate dynamic programming for feedback control” Subjects and Themes:
- Subjects: ➤ Feedback control systems - TECHNOLOGY & ENGINEERING / Electronics / General - Reinforcement learning - Machine learning - Reinforcement (psychology)
Edition Identifiers:
- The Open Library ID: OL16699673W
AI-generated Review of “Reinforcement learning and approximate dynamic programming for feedback control”:
"Reinforcement learning and approximate dynamic programming for feedback control" Description:
The Open Library:
"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"--
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