Reinforcement Learning With Open AI, TensorFlow and Keras Using Python
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up...
Autores principales: | , |
---|---|
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress
2018.
|
Edición: | 1st ed. 2018. |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630413106719 |
Tabla de Contenidos:
- Chapter 1: Reinforcement Learning basics
- Chapter 2: Theory and Algorithms
- Chapter 3: Open AI basics
- Chapter 4: Getting to know Open AI and Open AI Gym the developers way
- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras
- Chapter 6 Google’s DeepMind and the future of Reinforcement Learning.