Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following

Understand

This work focuses on building a task planner for Embodied Instruction Following (EIF) using Large Language Models (LLMs).

• Previous works typically train a planner to imitate expert trajectories, treating this as a supervised task.
• While these methods achieve competitive performance, they often lack sufficient robustness.
• When a suboptimal action is taken, the planner may encounter an out-of-distribution state, which can lead to task failure.