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£115.51
Springer - Reinforcement Learning for Optimal Feedback Control
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Description
Key Features
Develops model-based and data-driven reinforcement learning methods specifically for nonlinear deterministic dynamical systems.
Provides data-driven methods for real-time system model identification to help achieve learning under uncertainty.
Offers an in-depth Lyapunov-based analysis by focusing on the characteristics of deterministic systems.
Demonstrates the practical advantages of using recorded data and previous experience through detailed simulations.
Includes experimental data to illustrate the effectiveness of the proposed control methods.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3030086895
- Domain
- Amazon UK
- Release Date
- 26 December 2018
- Listed Since
- 30 December 2018
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