Planning Model

Planning models aim to generate sequences of actions to achieve specified goals, a crucial task in artificial intelligence with applications ranging from robotics to game playing. Current research focuses on improving the efficiency and robustness of planning, particularly through hybrid approaches combining fast, intuitive methods (like those using large language models) with slower, more deliberate search algorithms, and by leveraging hierarchical structures to manage complexity in multi-agent or long-horizon scenarios. These advancements are significant because they enable more effective and adaptable AI systems capable of tackling increasingly complex real-world problems, particularly in uncertain or dynamic environments.