👉 The supervisor weapon is a critical component in reinforcement learning, particularly in the context of safety and robustness. It acts as an external regulator that monitors the behavior of a learning agent during training, ensuring that the agent's actions remain within predefined safe boundaries. By providing constraints or penalties for unsafe actions, the supervisor weapon helps prevent the agent from exploring dangerous or harmful behaviors, even if such actions might lead to better performance in a standard reward function. This mechanism is especially crucial in high-stakes applications like autonomous driving or medical diagnosis, where safety is paramount.
