Reinforcement Learning

Imagine teaching a child to ride a bicycle without explicitly telling them how - they learn through trial and error, falls and successes, until they master the skill. This is exactly how reinforcement learning works in artificial intelligence. Welcome to Lesson 1 of our course on Reinforcement Learning, where we'll explore this fascinating learning approach.

Welcome to Lesson 3 of our course on Reinforcement Learning. From defeating world champions in chess and Go to teaching robots to walk and manipulate objects, reinforcement learning has emerged as one of AI's most powerful tools. This revolutionary approach allows machines to learn through trial and error, much like humans do.

Welcome to Lesson 4 of our course on Reinforcement Learning. In this lesson, we will dive into the exciting world of reinforcement learning by implementing a basic reinforcement learning algorithm. Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment. Through trial and error, the agent learns which actions yield the most reward over time.