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