Applied Reinforcement Learning with Python With OpenAI Gym, Tensorflow, and Keras
Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introdu...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2019.
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| Edición: | 1st ed. 2019. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630922406719 |
Tabla de Contenidos:
- Chapter 1: Introduction to Reinforcement Learning
- Chapter 2: Reinforcement Learning Algorithms
- Chapter 3: Q Learning
- Chapter 4: Reinforcement Learning Based Market Making
- Chapter 5: Reinforcement Learning for Video Games. .
