PyTorch 1.x Reinforcement Learning Cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python [E-Book] / Yuxi (Hayden) Liu.
Reinforcement learning (RL) is a branch of machine learning that has gained popularity in recent times. It allows you to train AI models that learn from their own actions and optimize their behavior. PyTorch has also emerged as the preferred tool for training RL models because of its efficiency and...
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Full text |
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Personal Name(s): | Liu, Yuxi (Hayden), author |
Imprint: |
[Birmingham] :
Packt Publishing,
2019
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Physical Description: |
334 pages (online resource) |
Note: |
englisch |
ISBN: |
9781838553234 9781838551964 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- 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.