Reinforcement Learning and Dynamic Programming Using Function Approximators /
Tallennettuna:
| Muut tekijät: | |
|---|---|
| Aineistotyyppi: | Kirja |
| Kieli: | englanti |
| Julkaistu: |
Boca Ratón, EUA :
CRC Press,
2010, c2010
|
| Sarja: | (Automation and Control Engineering, Vol. 39)
|
| Aiheet: | |
| Linkit: | Ver documento en línea |
| Tagit: |
Ei tageja, Lisää ensimmäinen tagi!
|
Samankaltaisia teoksia: Reinforcement Learning and Dynamic Programming Using Function Approximators /
- From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming /
- Reinforcement Learning : An Introduction /
- The Art of Feature Engineering : Essentials for Machine Learning /
- Learning Scikit-Learn : Machine Learning in Python : Experience the Benefits of Machine Learning Techniques by Applying Them to Real-world Problems Using Python and the Open Source Scikit-Learn Library /
- An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces /
- Mastering Machine Learning with Scikit-Learn : Apply Effective Learning Algorithms to Real-World Problems Using Scikit-Learn /