Action Tokenizer Matters in In-Context Imitation Learning

An Dinh Vuong, Minh Nhat Vu, Dong An +1

In-context imitation learning (ICIL) is a new paradigm that enables robots to generalize from demonstrations to unseen tasks without retraining. A well-structured action representa…