A robotics company is exploring different machine learning techniques to enhance the decision-making capabilities of its autonomous robots. The team is considering both reinforcement learning and supervised learning but needs to understand the fundamental differences between these approaches, as understanding this distinction will help the team choose the best approach for their specific use case. What is a key difference between reinforcement learning and supervised learning?