Book Image

Deep Reinforcement Learning Hands-On

By : Maxim Lapan
Book Image

Deep Reinforcement Learning Hands-On

By: Maxim Lapan

Overview of this book

Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on 'grid world' environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots.
Table of Contents (23 chapters)
Deep Reinforcement Learning Hands-On
Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Python Machine Learning - Second Edition

Sebastian Raschka, Vahid Mirjalili

ISBN: 978-1-78712-593-3

  • Understand the key frameworks in data science, machine learning, and deep learning

  • Harness the power of the latest Python open source libraries in machine learning

  • Master machine learning techniques using challenging real-world data

  • Master deep neural network implementation using the TensorFlow library

  • Ask new questions of your data through machine learning models and neural networks

  • Learn the mechanics of classification algorithms to implement the best tool for the job

  • Predict continuous target outcomes using regression analysis

  • Uncover hidden patterns and structures in data with clustering

  • Delve deeper into textual and social media data using sentiment analysis

Deep Learning with TensorFlow - Second Edition

Giancarlo Zaccone, Md. Rezaul Karim

ISBN: 978-1-78883-110-9

  • Apply deep machine intelligence and GPU computing with TensorFlow

  • Access public datasets and use TensorFlow to load, process, and transform the data

  • Discover how to use the high-level TensorFlow API to build more powerful applications

  • Use deep learning for scalable object detection and mobile computing

  • Train machines quickly to learn from data by exploring reinforcement learning techniques

  • Explore active areas of deep learning research and applications

Python Interviews

Mike Driscoll

ISBN: 978-1-78839-908-1

  • How successful programmers think

  • The history of Python

  • Insights into the minds of the Python core team

  • Trends in Python programming

Leave a review - let other readers know what you think

Please share your thoughts on this book with others by leaving a review on the site that you bought it from. If you purchased the book from Amazon, please leave us an honest review on this book’s Amazon page. This is vital so that other potential readers can see and use your unbiased opinion to make purchasing decisions, we can understand what our customers think about our products, and our authors can see your feedback on the title that they have worked with Packt to create. It will only take a few minutes of your time, but is valuable to other potential customers, our authors, and Packt. Thank you!