The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python - Paperback >
/ The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python - Paperback

The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python - Paperback

Regular price$64.78
/
(Tax included. Shipping calculated at checkout.)
✔ Authenticity Guaranteed — Verified Designer Goods
✔ 100% Money-Back Guarantee on Eligible Items
✔ Prices Displayed in Your Local Currency
✔ Final Price = No Surprise Import Fees
✔ Complimentary Insured Worldwide Shipping on Qualifying Orders
✔ Select Collector & Specialty Pieces May Require Secured Delivery Handling
Our authentication process ensures every item meets strict luxury verification standards. Learn more
Complimentary worldwide shipping on qualifying orders

by Michael Hu (Author)

Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge technology.

Beginning with an overview of fundamental concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning, this book uses clear and concise examples to explain the basics of RL theory. The following section covers value function approximation, a critical technique in RL, and explores various policy approximations such as policy gradient methods and advanced algorithms like Proximal Policy Optimization (PPO).

This book also delves into advanced topics, including distributed reinforcement learning, curiosity-driven exploration, and the famous AlphaZero algorithm, providing readers with a detailed account of these cutting-edge techniques.

With a focus on explaining algorithms and the intuition behind them, The Art of Reinforcement Learning includes practical source code examples that you can use to implement RL algorithms. Upon completing this book, you will have a deep understanding of the concepts, mathematics, and algorithms behind reinforcement learning, making it an essential resource for AI practitioners, researchers, and students.

What You Will Learn

  • Grasp fundamental concepts and distinguishing features of reinforcement learning, including how it differs from other AI and non-interactive machine learning approaches
  • Model problems as Markov decision processes, and how to evaluate and optimize policies using dynamic programming, Monte Carlo methods, and temporal difference learning
  • Utilize techniques for approximating value functions and policies, including linear and nonlinear value function approximation and policy gradient methods
  • Understand the architecture and advantages of distributed reinforcement learning
  • Master the concept of curiosity-driven exploration and how it can be leveraged to improve reinforcement learning agents
  • Explore the AlphaZero algorithm and how it was able to beat professional Go players

Who This Book Is For

Machine learning engineers, data scientists, software engineers, and developers who want to incorporate reinforcement learning algorithms into their projects and applications.

Back Jacket

Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge technology.

Beginning with an overview of fundamental concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning, this book uses clear and concise examples to explain the basics of RL theory. The following section covers value function approximation, a critical technique in RL, and explores various policy approximations such as policy gradient methods and advanced algorithms like Proximal Policy Optimization (PPO).

This book also delves into advanced topics, including distributed reinforcement learning, curiosity-driven exploration, and the famous AlphaZero algorithm, providing readers with a detailed account of these cutting-edge techniques.

With a focus on explaining algorithms and the intuition behind them, The Art of Reinforcement Learning includes practical source code examples that you can use to implement RL algorithms. Upon completing this book, you will have a deep understanding of the concepts, mathematics, and algorithms behind reinforcement learning, making it an essential resource for AI practitioners, researchers, and students.

You will:

  • Grasp fundamental concepts and distinguishing features of reinforcement learning, including how it differs from other AI and non-interactive machine learning approaches
  • Model problems as Markov decision processes, and how to evaluate and optimize policies using dynamic programming, Monte Carlo methods, and temporal difference learning
  • Utilize techniques for approximating value functions and policies, including linear and nonlinear value function approximation and policy gradient methods
  • Understand the architecture and advantages of distributed reinforcement learning
  • Master the concept of curiosity-driven exploration and how it can be leveraged to improve reinforcement learning agents
  • Explore the AlphaZero algorithm and how it was able to beat professional Go players

Author Biography

Michael Hu is a skilled software engineer with over a decade of experience in designing and implementing enterprise-level applications. He's a passionate coder who loves to delve into the world of mathematics and has a keen interest in cutting-edge technologies like machine learning and deep learning, with a particular interest in deep reinforcement learning. He has build various open-source projects on Github, which closely mimic the state-of-the-art reinforcement learning algorithms developed by DeepMind, such as AlphaZero, MuZero, and Agent57. Fluent in both English and Chinese, Michael currently resides in the bustling city of Shanghai, China.

Number of Pages: 287
Dimensions: 0.65 x 10 x 7 IN
Illustrated: Yes
Publication Date: December 09, 2023
  • In stock, ready to ship
  • Backordered, shipping soon
Shop with Confidence
  • ✔ Authenticity Guaranteed — Verified Designer Goods
  • ✔ Sourced from Authorized European/U.S. Luxury Distributors
  • ✔ Secure Checkout — SSL Encrypted Payments
  • ✔ Fast Global Delivery — 3–11 Business Days
  • ✔ Easy Returns on Eligible Items
  • ✔ 100% Money-Back Guarantee — Full Refund if Not Satisfied
Verified Trust Rating: 91/100
Amazon American Express Apple Pay Bancontact Diners Club Discover Google Pay Mastercard PayPal Shop Pay USDC Visa SSL Secure
Amazon Pay Logo Fast checkout with Amazon Pay. Use your Amazon account to skip entering shipping or card info.
Trusted by discerning buyers worldwide — secure, verified luxury sourcing

AUTHENTICITY GUARANTEED

Reserved for you — complete your purchase to secure this piece.

Authorized Designer Inventory Secure & Encrypted Checkout Tracked & Insured Delivery

OFFICIALLY AUTHORIZED RESELLER

Discover Officially Authorized Authentic Items at STORE7994.com - Certificates Available on Request!

Independently verified for store quality and customer safety.
Trust score: 91/100

All designer items offered by STORE 7994 are sourced from trusted luxury distributors and verified through independent authentication services.

Learn how STORE 7994 authenticates luxury items

Guaranteed Authentic — Includes Brand Documentation & Third-Party Verification Options.

Shipping information

  • Free Shipping* on all orders over $300 USD to most countries* Estimated delivery: 2-5 business days Mon-Sat to U.S., CA, EU etc.
  • Tracking available: DHL Express
  • Store 7994 Shipping policy
  • Global delivery in 3–9 business days (location dependent).
  • Free Worldwide Shipping $300+. International duties & VAT are calculated by destination country and may be collected upon delivery. UK orders are subject to 20% import VAT upon delivery.

Our innovation isn’t just in the brands we carry — it’s in the way we connect them. From our automation engine that keeps collections globally updated to our commitment to authenticity-first presentation, STORE 7994 exists where timeless design meets modern precision.

Every product we offer is:
Elevated · Intentional · Exclusive · Authentic

STORE 7994 is an authorized reseller of luxury fashion houses. Certificates and proof of authenticity are available to brand owners and partners upon request.

This site is protected by hCaptcha and the hCaptcha Privacy Policy and Terms of Service apply.

Returns & Refunds

We want you to shop with confidence at STORE 7994. If your purchase does not meet expectations, eligible items may be returned under the conditions below.

Return Eligibility
Items must be unused, unworn, and in original condition with all tags, packaging, and accessories included. Items showing any signs of wear or damage will not be accepted.

Return Window
Return requests must be made within 14 days of delivery.

Return Shipping
Customers are responsible for return shipping costs unless the item is defective, damaged, or incorrect.

Luxury Items
Items valued over $1,000 may be subject to a 7% restocking fee upon approved return.

Non-Returnable Items
For hygiene and product integrity reasons, the following items are final sale once opened or used:

• Underwear
• Fragrances
• Any worn or used items

Made-to-Order Items
Custom-designed products, including STORE 7994 hoodies, are made exclusively for each customer and are final sale. These items are not eligible for return or exchange unless defective or incorrect.

If you receive a defective or incorrect item, please contact us and we will make it right.

International Shipping & Duties
Many of our products ship directly from trusted international partners. Any applicable customs duties or import taxes are calculated at checkout and are non-refundable, even if the item is returned.

Returns & Associated Fees
All approved returns are subject to a $24 return processing fee. For international orders, duties, taxes, and return fees will be deducted from the original payment.

Shipping Policy
Complimentary shipping is offered on orders over $300. Orders below this threshold are subject to standard shipping rates at checkout.