👉 The learned weapon is a concept from reinforcement learning, particularly in the context of robotic manipulation and control. It refers to a neural network model that learns to perform complex tasks, such as grasping and manipulating objects, by receiving rewards or penalties based on its actions. Unlike traditional programming, which relies on explicit instructions for every possible scenario, the learned weapon enables a robot to develop an internal policy that generalizes well across various situations and object types. This approach allows the robot to adapt to new objects and environments, improving its efficiency and effectiveness in real-world tasks without requiring extensive manual programming for each specific scenario.
