Description

This session introduces the fundamentals of Reinforcement Learning (RL), a type of machine learning where agents learn by interacting with their environment to maximize cumulative rewards. You will learn the core concepts, processes, types, and algorithms of RL, along with real-world applications. The course provides a concise, beginner-friendly overview suitable for e-learning, helping you understand how RL works and why it is widely used in AI, robotics, gaming, and autonomous systems.