Conrol Systems and Reinforcement Learning /
Contiene: 1. Introducción. I) Fundamentos sin sonido: 2. Curso intensivo de control; 3. Control óptimo; 4. Métodos de ecuación diferencial ordinaria para diseño de algoritmos; 5. Aproximaciones de función de valor. II) Aprendizaje de refuerzo y control estocástico: 6. Cadenas de Markov; 7. Control e...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre |
| Langue: | anglais |
| Publié: |
Cambridge, Inglaterra :
Cambridge University,
2022, c2022
|
| Sujets: | |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires: Conrol Systems and Reinforcement Learning /
- Advanced Mathematical Tools for Automatic Control Engineers : Stochastic Techniques /
- Control for Fractional-Order Systems and Fractional-Order Control /
- Stochastic Control : Proceedings of the 2nd IFAC Symposium, Vilnius, Lithuanian SSR, USSR, 19-23 May 1986 /
- Analysis and Synthesis of Nonlinear Control Systems : A Convex Optimisation Approach /
- A Course in Robust Control Theory : A Convex Approach /
- Linear Systems /