Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Reinforcement Learning Basics Teaching Machines to Act: Apply RL for robotics, gaming, and decision-making systems

by Isandro Myles
Sold out
₹1,654.00
Original price ₹1,654.00
Original price ₹1,654.00
₹1,654.00
Current price ₹1,654.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9798264361135
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 150
  • Original Price: USD 16.99
  • Language: English
  • Edition: N/A
  • Item Weight: 209 grams
  • BISAC Subject(s): Robotics

Unlock the power of Reinforcement Learning to make machines that learn by doing.

Reinforcement Learning Basics is your hands-on guide to building intelligent systems that learn from experience, adapt to dynamic environments, and make decisions autonomously. From robotics and gaming to real-world decision-making, this book equips beginners and intermediate developers with the skills to implement RL algorithms effectively using practical examples.

Inside, you'll learn how to:

  • Understand core RL concepts: agents, environments, states, actions, rewards, and policies.

  • Implement classic RL algorithms such as Q-Learning, SARSA, and Monte Carlo methods.

  • Explore deep reinforcement learning techniques with neural networks for complex environments.

  • Apply policy gradient methods and actor-critic models to optimize decision-making.

  • Train autonomous agents in simulated environments using Python and popular RL libraries.

  • Utilize reward shaping and exploration strategies to accelerate learning.

  • Integrate RL into robotics applications for navigation, manipulation, and adaptive control.

  • Develop gaming AI agents that adapt, compete, and improve over time.

  • Build decision-making systems for finance, logistics, and operations using RL frameworks.

  • Evaluate and fine-tune RL models with metrics to ensure optimal performance.

Packed with hands-on projects, step-by-step tutorials, and real-world examples, this book gives you the foundation to create autonomous, learning systems that can tackle dynamic, uncertain environments confidently.

Who This Book Is For
  • Aspiring AI developers wanting to explore reinforcement learning

  • Robotics enthusiasts seeking autonomous control solutions

  • Game developers looking to build intelligent, adaptive AI agents

  • Students, researchers, and professionals interested in applied RL for decision-making

Learn the fundamentals of Reinforcement Learning and start building intelligent systems that act, adapt, and improve on their own.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us