This lecture presents the concept of reactive anticipatory robot skills with memory, focusing on fast adaptation to changing objectives through memory feedback and time-correlations between states. It discusses extended system level synthesis, iterative SLS, and experimental results showcasing the effectiveness of memory feedback. The lecture also explores the implications of time-correlations for learning and control strategies.