Reward Function Trend 2026

In reinforcement learning, a reward function is the compass guiding an AI agent toward desired outcomes. It defines the numeric feedback—positive or negative—an agent receives for each action, shaping its strategy to maximize cumulative rewards. Used in training algorithms for robotics, gaming, and autonomous systems, it benefits developers and researchers by enabling efficient, goal-directed machine behavior.