CARL

CARL (Contextualized Action Representation Learning) is an approach in artificial intelligence that helps machines understand and perform tasks by learning from the context around actions. Instead of just memorizing steps, CARL teaches AI to grasp the meaning and purpose behind actions by analyzing surrounding information. This enables AI to adapt to new situations more effectively, interpret complex instructions, and make better decisions, much like how humans use context to understand and respond appropriately in various scenarios.