Interactive Agent

Interactive agents are computational systems designed to autonomously complete tasks through interaction with their environment, often involving natural language understanding and execution of complex instructions. Current research emphasizes developing agents capable of handling increasingly challenging tasks, utilizing architectures that combine large language models (LLMs) with cognitive AI and other techniques like hierarchical reinforcement learning to improve performance and interpretability. This field is significant for advancing AI capabilities in diverse applications, from virtual assistants and mental health support systems to remote sensing analysis and human-robot interaction, driving improvements in both the design and evaluation of these agents.