imitoru
Imitoru is a hypothetical framework in artificial intelligence that seeks to combine imitation learning with iterative self-improvement to enable agents to acquire new skills from limited demonstrations. The concept appears in speculative discussions about data-efficient, transferable learning for autonomous systems.
Definition and operation: An imitoru system begins with an imitation module that translates demonstrations into an
Components and variants: Core elements often include an imitation encoder, an internal predictive model, and a
Applications and challenges: Conceptual uses include robotics, autonomous agents, and game AI, where rapid skill acquisition
Etymology and status: The term imitoru is used in speculative AI literature and is not part of