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...

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Detalles Bibliográficos
Autores principales: Nandy, Abhishek. author (author), Biswas, Manisha. author
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.