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 bui...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Nandy, Abhishek (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Biswas, Manisha (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.