Learning from Visual Observation via Offline Pretrained State-to-Go Transformer

Bohan Zhou, Ke Li, Jiechuan Jiang +1

Learning from visual observation (LfVO), aiming at recovering policies from only visual observation data, is promising yet a challenging problem. Existing LfVO approaches either on…