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policy

In robotics and reinforcement learning, a policy is the function or rule that maps what the robot currently observes (its state) to the action it should take.

You can think of a policy as the robot’s strategy or control law: given sensor inputs (camera, joint positions, etc.), it outputs motor commands.


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