Reinforcement Learning with Neural Networks: Essential Concepts

This 24-minute video tutorial explains the fundamental concepts of reinforcement learning with neural networks. Learn how this powerful technique has enabled neural networks to win games, drive cars, and improve ChatGPT's human-like responses. Begin with a review of backpropagation before diving into why standard backpropagation falls short in certain scenarios. Discover how reinforcement learning overcomes these limitations by using guesses to calculate derivatives and rewards to update them. Explore alternative reward structures and see practical examples of parameter updates through reinforcement learning. The tutorial includes clear explanations with two detailed examples and concludes with a comprehensive summary of this essential machine learning approach.