Goal Representation

Goal representation in artificial intelligence focuses on enabling agents to understand and act upon high-level objectives, bridging the gap between human-understandable instructions and machine-executable actions. Current research emphasizes developing robust and generalizable methods for representing goals using diverse modalities like natural language, images, and sketches, often incorporating hierarchical reinforcement learning and large language models to handle complex tasks and ambiguous instructions. These advancements are crucial for creating more adaptable and human-friendly robots and AI systems, improving their ability to perform complex tasks in unstructured environments and collaborate effectively with humans.