Beyond Imitation: Recovering Dense Rewards from Demonstrations

Jiangnan Li, Thuy-Trang Vu, Ehsan Abbasnejad +1

Conventionally, supervised fine-tuning (SFT) is treated as a simple imitation learning process that only trains a policy to imitate expert behavior on demonstration datasets. In th…