Cooperative Inverse Reinforcement Learning

Cooperative Inverse Reinforcement Learning (CIRL) is a framework in artificial intelligence where an AI learns from observing a human's behavior to understand their intentions and preferences. Instead of just mimicking actions, the AI deduces the underlying goals the human is trying to achieve. This approach emphasizes collaboration, as the AI and human work together, enhancing the AI's ability to make decisions that align with human values. CIRL is particularly useful in complex situations where directly specifying the desired outcomes is difficult, allowing AI to assist effectively while respecting human objectives.