Video instance segmentation requires classifying segmenting and tracking every object
across video frames. Unlike existing approaches that rely on masks boxes or category labels …

Dyna-style model-based reinforcement learning contains two phases: model rollouts to
generate sample for policy learning and real environment exploration using current policy …

Can we generate a control policy for an agent using just one demonstration of desired
behaviors as a prompt, as effortlessly as creating an image from a textual description? In this …

Imitation learning has proven to be a powerful tool for training complex visuomotor policies.
However, current methods often require hundreds to thousands of expert demonstrations to …

Although large vision-language-action (VLA) models pretrained on extensive robot datasets
offer promising generalist policies for robotic learning, they still struggle with spatial …