Deep reinforcement learning with Python : with Pytorch, Tensorflow and OpenAI Gym /

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise. You'll...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sanghi, Nimish
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress, 2021.
Temas:
Reinforcement learning.
Python (Computer program language)
Apprentissage par renforcement (Intelligence artificielle)
Python (Langage de programmation)
Reinforcement learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Introduction to Deep Reinforcement Learning
  • Chapter 2: Markov Decision Processes
  • Chapter 3: Model Based Algorithms
  • Chapter 4: Model Free Approaches
  • Chapter 5: Function Approximation
  • Chapter 6:Deep Q-Learning
  • Chapter 7: Policy Gradient Algorithms
  • Chapter 8: Combining Policy Gradients and Q-Learning
  • Chapter 9: Integrated Learning and Planning
  • Chapter 10: Further Exploration and Next Steps.

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