Understanding Reinforcement Learning with Neural Networks Part 1: Learning Without Correct Answers

This article introduces the concept of reinforcement learning using neural networks, illustrating it with a relatable example of choosing between two places for fries based on hunger levels. It emphasizes the importance of decision-making in uncertain environments, where correct answers are not always available. The discussion sets the stage for deeper exploration of reinforcement learning techniques in subsequent parts.