Saito, Sean
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
- ISBN 13:
- 9781788991612
- author:
- Saito, Sean
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2018
- Pages:
- 296
- Dimensions:
- 23.5 x 19.1 x 1.6 centimetres (0
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries. This comprehensive guide covers key concepts such as Q-learning, policy gradients, Monte Carlo processes, and several advanced deep reinforcement learning algorithms. You'll work on eight practical projects, exploring technologies like TensorFlow and OpenAI Gym to implement these algorithms in real-world applications. These projects cover a range of domains, including gaming, image processing, and physical simulations, and address different topics and/or algorithms. By the end of this book, you'll gain hands-on experience with reinforcement learning and develop better intuition about its application to various problems. With this book, you'll learn how to build self-learning models that can predict stock prices, generate natural language, and even construct other neural networks.
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