The Best New Deep Reinforcement Learning eBooks To Read In 2025

Discover the best new deep reinforcement learning ebooks, recommended by leaders, experts, and readers worldwide

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Including recommendations by Marco Wiering and Tristan Behrens
1
Book Cover of Nakibinge Simon - Deep Reinforcement Learning on real-word problems: Problem Case 1: Futures Trading
4.21
| Dec 5, 2024
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2
Book Cover of Maxim Lapan - Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
4.20
| Nov 12, 2024 | 716 Pages
  • #2 Best Seller in Prolog Programming on Amazon
Recommended by Marco Wiering and Tristan Behrens
Marco WieringReinforcement learning is an exciting field that opens up the path to new possibilities. Max Lapan has written an excellent guide to reinforcement learning that not only explains the concepts but shows us how to use RL in developing our own programs
Tristan BehrensOh wow! What a book! I have just finished reading the book Deep Reinforcement Learning Hands-On 2nd Edition by Maxim Lapan. What a tome! It is a large book! Extremely well written, instructive, and insightful
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Deep Reinforcement Learning Book made by AI

By TailoredRead – AI that creates personalized books for you 

4.98
| 2024 | 30-300 pages
Learn Deep Reinforcement Learning faster with a book created specifically for you by state-of-the-art AI. Our AI has vast knowledge of Deep Reinforcement Learning, and will craft a custom-tailored book for you in just 10 minutes. This tailored book addresses YOUR unique interests, goals, knowledge level, and background. Available for online reading, PDF download, and Kindle, your custom book will provide personalized insights to help you learn faster, expand your horizons, and accomplish your goals. Embark on your Deep Reinforcement Learning learning journey with a personalized book - made exclusively for you.
Recommended for: 
All readers across all knowledge levels.
You will:
  • Get a Deep Reinforcement Learning book tailored to your interests, goals, and background
  • Receive a book precisely matching your background and level of knowledge
  • Select which topics you want to learn, exclude the topics you don't
  • Define your learning goals and let your book guide you to accomplish them
  • Get all the knowledge you need consolidated into a single focused book
Reviews:
Insightful
Focused
Highly Personalized
Easy to Read
Engaging
Actionable
Up-to-Date
3
Book Cover of Mason Leblanc - Reinforcement Learning for Smarter Agents: A Practical Guide to RL Algorithms and Techniques for Building Adaptive and Intelligent AI Agents

By Mason Leblanc – Seasoned tech aficionado with a passion for AI and machine learning (you?) 

4.15
| Feb 19, 2024 | 218 Pages
Recommended for: 
Developers, researchers, students, and AI enthusiasts. Beginner to Intermediate readers.
You will:
  • Master key RL algorithms with clear explanations, code examples, and exercises.
  • Understand the core concepts, algorithms, and techniques behind RL, from Q-learning to Deep RL.
  • Learn to design, train, and deploy RL agents for tasks ranging from game playing to robotics and beyond.
  • Discover practical solutions for common RL hurdles, like exploration, exploitation, and continuous learning.
  • Explore the responsible development and deployment of RL agents, ensuring fairness, transparency, and alignment with human values.
Reviews:
Comprehensive Guide
Step-by-step Guidance
Clear Explanations
Demystifying RL
Tackling Real-World Challenges
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