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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.