Goal Directed

Goal-directed planning focuses on developing systems capable of autonomously generating sequences of actions to achieve predefined objectives. Current research emphasizes improving the efficiency and robustness of planning algorithms, particularly in complex, unstructured environments, using techniques like large language models (LLMs), diffusion models, and goal-space planning with subgoal models. These advancements are driving progress in areas such as robotic control, intelligent assistants, and creative writing support, where the ability to translate high-level goals into executable plans is crucial. The ultimate aim is to create more adaptable and effective AI systems capable of handling real-world challenges.