Machine Learning & Training

What Is a Reward Function?

A reward function defines the objective in reinforcement learning by assigning numerical feedback to an agent's actions and states. The agent learns to choose actions that maximize the total reward it receives over time. Designing a good reward function is crucial, since it shapes the behavior the agent ultimately learns.