Reward Engineering

Reward engineering is the process of designing and tuning the criteria that guide an AI or machine learning system’s behavior. It involves defining clear goals and providing feedback (rewards or penalties) to encourage the system to make desired decisions. By carefully shaping these feedback signals, developers ensure the AI learns to perform tasks effectively and aligns with intended outcomes. Essentially, reward engineering is about creating the right incentive structure so the AI optimizes for what we want it to achieve.