Mastering Reinforcement Learning for Robotics Course - Python

This course introduces reinforcement learning for robotics, covering core concepts, Q-Learning, and Deep Q-Learning (DQL).

Mastering Reinforcement Learning for Robotics course

Course Summary

Integration of AI and robotics with a focus on Reinforcement Learning and autonomous decision-making.

What you will learn

Reinforcement Learning, AI, ROS 2

Course Overview

Course Intro

This unit provides an introduction to reinforcement learning for robotics, covering fundamental concepts and an overview of course objectives

Fundamentals of Reinforcement Learning

This unit delves into the fundamentals of reinforcement learning, providing an overview of core concepts and their application in robotics

Q-Learning

This unit focuses on Q-Learning, a fundamental algorithm in reinforcement learning.

Deep Q-Learning

This unit explores Deep Q-Learning (DQL), an advanced reinforcement learning technique that leverages deep neural networks to approximate Q-values.

Teachers

Jason Koubi

Jason Koubi

Jason Koubi

Robots used

Cubix robot

Cubix robot

Learning Path

Group:

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