How a Reward Function Works

In AI systems, the rewards and punishments are calculated mathematically. A self-driving system could receive a -1 when the model hits a wall, and a +1 if it safely passes another car. These signals allow the agent to evaluate its performance.

The algorithm then learns through trial and error to maximize the reward — and ultimately, complete the task in the most desirable manner.