SynthICL: Scalable In-context Imitation Learning with Synthetic Data

Cheng Qian, Ruomeng Fan, Yifei Ren +2

In-context imitation learning (ICIL) enables robots to learn new tasks from a small number of demonstrations by conditioning a pre-trained policy on task-specific examples, without…