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Cookie akzeptierenRushikesh Kamalapurkar / Warren Dixon / Joel Rosenfeld / Patrick Walters
Reinforcement Learning for Optimal Feedback Control
- Springer International Publishing
- 2018
- Gebunden
- 312 Seiten
- ISBN 9783319783833
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models in real-time are also developed. The book illustrates the advantages gained from the use of a model and the use of previous experience in the form of recorded data through simulations and experiments. The book¿s focus on deterministic systems allows for an in-depth Lyapunov-based analysis of the performance of the methods described during the learning phase and during execution. To yield an approximate optimal controller, the authors focus on theories
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