Planning Problem

Planning problems, focusing on generating sequences of actions to achieve goals, are a core area of artificial intelligence research. Current work emphasizes improving efficiency and flexibility in complex environments, often leveraging large language models (LLMs) and other neural networks to manage the computational complexity, alongside techniques like hierarchical planning, subgoal search, and policy learning. These advancements have implications for diverse applications, including robotics, pandemic response, and even video game AI, by enabling more robust and adaptable automated systems.