Grokking Deep Reinforcement Learning

Practical introduction to deep reinforcement learning with exercises

83.0
Score in best reinforcement learning and edge ML books

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

ProductScorePriceFormatsLevelFree to read onlineLatest editionMath required
#6Efficient Processing of Deep Neural Networks87.5PaidPDF, PrintAdvancedNo2020, SpringerModerate: linear algebra and digital design
#7Reinforcement Learning: Theory and Algorithms86.0FreePDFAdvancedYesDraft, updated in 2026Heavy: probability and proofs
#8Foundations of Deep Reinforcement Learning85.0PaidPrintIntermediateNo2021, PearsonModerate: probability and neural networks
#9Algorithms for Reinforcement Learning84.5FreePDF, PrintIntermediateYes2010, short bookModerate: probability
#10Grokking Deep Reinforcement Learning83.0PaidPrintIntermediateNo2020, ManningLight: basic programming and probability

The full comparison table for best reinforcement learning and edge ML books has all 10 products.

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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