Reinforcement Learning

Adriana Aida, Walida Amer, Katarina Bankovic et al.

Introduces Cortex 2.0, a world model for industrial robotics that plans over futures rather than reacting to observations. Enables reliable long-horizon robotic manipulation across changing conditions.

Yunfan Lou, Xiaowei Chi, Xiaojie Zhang et al.

Mask World Model filters irrelevant visual noise in robot learning, enabling robust policy training from noisy video data. This drastically improves generalization in dynamic real-world environments.