Grokking Deep Reinforcement Learning

by Miguel Morales

Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You'll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.

Summary
We all learn through trial and error. We avoid the things that cause us to experience pain and failure...

• Format: Paperback
• Language: English
• ISBN: 1617295450
• ISBN13: 9781617295454
• Release Date: November 2020
• Publisher: Manning Publications
• Length: 450 Pages
• Weight: 1.85 lbs.

Customer Reviews

Very well written book for learning Deep Reinforcement Learning

If you have a CS background, this book makes deep reinforcement learning very accessible and easy to learn (pun intended). I absolutely love the way the math equations and the code are annotated with comments. This way of presenting them makes understanding them much easier than the usual way of showing the equation and then explaining it in a paragraph below. Overall, the writing style makes it easy to follow the material. The Python code snippets keep things at a fairly high level, almost like pseudocode, so if you ever need to implement these algorithms in another language, it wouldn't be too difficult. Thank you, Miguel! Great book.