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Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python
This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x li...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified]
PACKT Publishing,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- PyTorch 1.x Reinforcement Learning Cookbook: over 60 recipes to design, develop, and deploy self-learning AI models using Python
- Contributors
- Table of Contents
- Preface
- 1. Getting Started with Reinforcement Learning and PyTorch
- 2. Markov Decision Processes and Dynamic Programming
- 3. Monte Carlo Methods for Making Numerical Estimations
- 4. Temporal Difference and Q-Learning
- 5. Solving Multi-armed Bandit Problems
- 6. Scaling Up Learning with Function Approximation
- 7. Deep Q-Networks in Action
- 8. Implementing Policy Gradients and Policy Optimization
- 9. Capstone Project
- Playing Flappy Bird with DQN
- Other Books You May Enjoy
- Index.