👉 The supervisor's weapon, often referred to as the "reward function" or "control mechanism," is a critical component in reinforcement learning systems that enables supervisors to guide and correct the behavior of agents. It provides a reward signal that the agent receives based on its actions, helping to steer the learning process towards desired outcomes. This mechanism allows supervisors to enforce constraints, penalize undesirable actions, and even provide feedback when the agent's performance deviates from expected behavior. By doing so, it ensures that the agent not only learns to maximize cumulative rewards but also adheres to safety and ethical guidelines, making it a powerful tool for training intelligent agents in complex environments.
