
Grokking Deep Reinforcement Learning
Practical introduction to deep reinforcement learning with exercises
Ranked 10 of 10 in best reinforcement learning and edge ML books
A practical, exercise-driven introduction to deep reinforcement learning from Manning. It has less mathematical depth than the textbooks above it and no free full text, so it suits builders more than theorists.
Best for Building deep reinforcement learning agents
About Grokking Deep Reinforcement Learning
The book introduces deep reinforcement learning, which combines reinforcement learning with deep neural networks, and it builds the ideas step by step through worked examples. The Manning description emphasizes clear examples and exercises, and presents the goal as building intelligent systems that learn from experience. The approach is practical, so it suits readers who want to implement agents.
It is paid and has no free full text, but the Manning page offers an excerpt before purchase. Compared with Sutton and Barto, it is more hands-on and less rigorous, and it sits below the textbooks for mathematical depth. It is a useful companion to those textbooks for readers who want to write agents as well as read the theory.
Key features
- Deep reinforcement learning
- Worked examples
- Exercises
- Print edition, 472 pages
Strengths
- Worked examples and exercises
- Practical focus on building agents
- Recent 2020 edition
Limits
- Less mathematical depth than the theory texts
- No free full text online
Where Grokking Deep Reinforcement Learning ranks
How Grokking Deep Reinforcement Learning compares
| Product | Score | Price | Formats | Level | Free to read online | Latest edition | Math required |
|---|---|---|---|---|---|---|---|
| #6 | 87.5 | Paid | PDF, Print | Advanced | No | 2020, Springer | Moderate: linear algebra and digital design |
| #7Reinforcement Learning: Theory and Algorithms | 86.0 | Free | Advanced | Yes | Draft, updated in 2026 | Heavy: probability and proofs | |
| #8 | 85.0 | Paid | Intermediate | No | 2021, Pearson | Moderate: probability and neural networks | |
| #9 | 84.5 | Free | PDF, Print | Intermediate | Yes | 2010, short book | Moderate: probability |
| #10 | 83.0 | Paid | Intermediate | No | 2020, Manning | Light: basic programming and probability |
The full comparison table for best reinforcement learning and edge ML books has all 10 products.
Alternatives to Grokking Deep Reinforcement Learning
All 9 alternatives
Reinforcement Learning: An IntroductionHas a free option.- Reinforcement Learning and Optimal ControlHas a free option.
TinyMLPractical guide to running machine learning on microcontrollers
Bandit AlgorithmsHas a free option.
Efficient Processing of Deep Neural NetworksHardware-focused book on running deep neural networks efficiently- Reinforcement Learning: Theory and AlgorithmsHas a free option.
Questions about Grokking Deep Reinforcement Learning
- Is Grokking Deep Reinforcement Learning free?
- Grokking Deep Reinforcement Learning is a paid product (paid). Print edition from Manning; excerpt on the publisher site.
- Which formats is Grokking Deep Reinforcement Learning available in?
- Grokking Deep Reinforcement Learning is offered as Print.
- What is Grokking Deep Reinforcement Learning best for?
- Building deep reinforcement learning agents. In our ranking of reinforcement learning and edge ML books it is number 10 of 10 with a score of 83.0.
- What are the best alternatives to Grokking Deep Reinforcement Learning?
- The highest-ranked alternatives on listme.name are Reinforcement Learning: An Introduction, Reinforcement Learning and Optimal Control, TinyML, Bandit Algorithms.
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<a href="https://listme.name/books/grokking-deep-reinforcement-learning"><img src="https://listme.name/badge/grokking-deep-reinforcement-learning.svg" height="28" alt="Ranked #10 of 10 reinforcement learning and edge ML books on listme.name"></a>Articles that mention Grokking Deep Reinforcement Learning
All articles- Roundups · 5 min readBest books on reinforcement learning and edge MLChoose a reinforcement learning or edge ML book by level, free access and hardware focus. Compare Sutton and Barto, Bertsekas, TinyML and Fringe Learning.
- Roundups · 6 min readBest books for learning machine learning, from math to practiceFollow a machine learning reading path from math and statistics to code, research and edge devices. See which books are free to read online and which are paid.


