Our paper titled “Contraction-Aware Reinforcement Learning for Nonlinear Control with Statistical Robustness” was accepted to IEEE Transactions on Robotics (T-RO)! We propose a method that integrates contraction theory with reinforcement learning to provide long-term optimaility with stability guarantees. The work was led by MJ Cho.