Control Policy

The function or set of rules that determines what actions a robotic or autonomous system takes in response to its current state and environment. In reinforcement learning, the control policy is what the agent learns, mapping observations to actions in a way that maximizes cumulative reward. A well-designed control policy enables reliable, safe behavior across the range of conditions the system will encounter.
See also: reinforcement learning, autonomous agent, reward model.