Planning Perspective

Planning research focuses on enabling artificial agents to generate sequences of actions to achieve goals, encompassing diverse applications from robotic manipulation to text summarization. Current work emphasizes hierarchical planning architectures, often integrating large language models (LLMs) for high-level reasoning and deep reinforcement learning (DRL) for low-level control, along with methods for improving explainability and human-AI collaboration. This research is significant for advancing AI capabilities in complex, dynamic environments and for developing more robust and understandable AI systems across various domains.