JEPA Policy: Diffusion-Free Imitation Learning via Paired Action and Future Representation Prediction
JEPA Policy is introduced, a diffusion-free framework that uses the action chunk and its observed future representation as paired training targets as paired training targets and supports paired future-representation supervision supervision as a practical approach to low-latency visuomotor imitation without iterative generative sampling.