Sungbin Mun

3D-aware Disentangled Representation for Compositional Reinforcement Learning

Vision-based reinforcement learning can benefit from object-centric scene representation, which factorizes the visual observation into individual objects and their attributes, such as color, shape, size, and position. While such object-centric representations can extract components that generalize w…