Generative Planning

Generative planning uses artificial intelligence to create sequences of actions, or plans, that achieve specific goals, addressing limitations of traditional methods that struggle with complex, dynamic environments. Current research focuses on improving the efficiency and robustness of these plans, employing models like diffusion models, normalizing flows, and graph neural networks, often within reinforcement learning frameworks. This approach shows promise in diverse applications, from optimizing supply chains and enabling safer robot navigation to facilitating more inclusive and efficient urban planning processes by generating adaptable and globally optimized solutions.