Online Course

Mastering Reinforcement Learning for Robotics

Explore reinforcement learning for robotics in this course, covering fundamental concepts, Q-Learning, and Deep Q-Learning (DQL).

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Reinforcement-Learning-for-Robotics-TCS-2025

Course Overview

In this course, you’ll explore the integration of AI and robotics, focusing on Reinforcement Learning and autonomous decision-making.

You’ll master key concepts of Reinforcement Learning, gain hands-on experience with AI technologies, and learn how to apply them in ROS 2 environments for real-world robotics applications.

What You Will Learn

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Fundamentals of Reinforcement Learning

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Q-Learning

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Deep Q-Learning

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100% Online

No ROS setup is required. Everything is online.

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Intermediate Level

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Approx. 12 hours to complete

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Prerequisites

Simulated Robot Used

Cubix Robot Simulation

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Syllabus

Unit 1: Intro

In this unit, you will gain an introduction to the core themes and objectives of the Reinforcement Learning for Robotics course through a hands-on demo featuring Cubix, a robot autonomously navigating to a target destination using Reinforcement Learning.

Unit 2: Fundamentals of Reinforcement Learning

In this unit, you will explore the foundations of the course, introducing the key concepts and principles of Reinforcement Learning (RL).

You’ll learn the following:

Introduction to Reinforcement Learning (RL)
Core Components of RL
Policies
Learning Strategies
Exploration vs. Exploitation Tradeoff
RL Hyperparameters

Unit 3: Q-Learning

In this unit, you’ll dive into Q-Learning, a foundational RL algorithm that offers a straightforward yet effective way to teach agents decision-making through trial and error, without requiring a model of the environment, making it ideal for understanding core RL concepts.

You’ll learn the following:

Q-Learning
How Q-Learning Works
Implementing Q-Learning for Cubix

Unit 4: Deep Q-Learning (DQL)

In this unit, you’ll dive into Deep Q-Learning (DQL), a technique for handling continuous state spaces in reinforcement learning while maintaining discrete actions.

You’ll learn the following:

Why Transition to DQL?
Core Concepts of DQL
Implementing DQL in PyGame
Implementing DQL for Cubix

What our students think

“I am wholeheartedly grateful for this outstanding opportunity. I wouldn’t have found a better ROS beginner-friendly course elsewhere. Thanks, ConstructSim !“

Francois Gonothi Toure

“I have tried to start learning ROS before and that was so difficult because I didn’t understand how to start, now with these introductory courses I am very excited because I can finally start to enter this world.“

Daniel Martínez

“I really enjoy the practical aspect and learning by doing. I feel like I learn way faster and with a rich understanding.”

Jose Dos Santos