Explore the intricacies of reinforcement learning in this third lecture of the series delivered by Massimo Vergassola at the International Centre for Theoretical Sciences. Delve into advanced concepts and practical applications of reinforcement learning as part of the "Soft and Living Matter: From Fundamental Concepts to New Material Design" program. Gain insights into how reinforcement learning techniques can be applied to soft matter physics, complex fluids, and interdisciplinary fields spanning biology, engineering, and atmospheric science. Discover the intersection of machine learning with dynamical systems, fluid dynamics, and statistical physics in this comprehensive 1 hour and 39 minute presentation. Engage with cutting-edge research and explore how reinforcement learning contributes to understanding collective phenomena, particulate systems, and non-equilibrium physics in soft and living matter.