Reward Function
A reward function is integral to the learning process of an agent, essentially guiding its actions by providing feedback. It assigns a numeric value as a reward to specific actions or sequences of actions within an environment. The aim is to incentivize behaviors that maximize total accumulated reward. This concept is pivotal in reinforcement learning where the reward function serves to express the objectives the agent learns to achieve, much like setting goals for a robot's tasks.