Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning

Lucas Manuelli, Yunzhu Li, Pete Florence +1

Predictive models have been at the core of many robotic systems, from quadrotors to walking robots. However, it has been challenging to develop and apply such models to practical r…