👉 The Metric Weapon, also known as the Metric Weapon Model (MWM), is a machine learning framework developed by researchers at MIT that aims to create more interpretable and controllable reinforcement learning agents. Unlike traditional reinforcement learning methods, which often produce complex and opaque decision-making processes, the MWM introduces a structured metric to guide the learning process. This metric, called the "metric," is a scalar value that quantifies how well an agent's actions align with a desired behavior, allowing for explicit control over the agent's objectives. By incorporating this metric into the reward function or directly influencing the agent's policy, the MWM enables more transparent and predictable behavior, making it particularly useful in safety-critical applications such as robotics, autonomous systems, and healthcare. This approach not only enhances the interpretability of AI models but also facilitates more effective human-AI collaboration.
