Generative Trajectory Planning aims to help embodied agents learn to plan

Generative Trajectory Planning (GTP) is presented as a way for embodied agents to imagine possible futures and improve their planning through experience, rather than learn policies through reinforcement learning. A researcher involved says GTP proposes promising action sequences and refines them with a learned world model to make online decisions, especially on manipulation tasks where reinforcement-learning methods have struggled.