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£114.89
Springer Reinforcement Learning for Optimal Feedback Control
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Description
Key Features
Covers both model-based and data-driven reinforcement learning methods for optimal control problems.
Addresses learning under uncertainty through real-time system model identification techniques.
Provides practical demonstrations using simulations and experiments to show the benefits of using recorded data.
Focuses on nonlinear deterministic dynamical systems to allow for detailed Lyapunov-based analysis.
Part of the Communications and Control Engineering series from Springer.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3319783831
- Domain
- Amazon UK
- Release Date
- 28 May 2018
- Listed Since
- 21 February 2018
Barcode
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