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Explore crowd dynamics modeling through reinforcement learning in this 35-minute Strange Loop Conference talk. Delve into the challenges of traditional approaches and discover how reinforcement learning offers a more robust solution for diverse environments. Learn about extended Kalman filters, implementing PPO in Unity-ML, and result validation. Examine the interplay between unexpected and predictable crowd behaviors, providing insights into this rich domain of modeling and simulation. Follow speaker Tomas Diaz's journey from Wall Street to innovative software solutions, focusing on graphics, machine learning, and virtual reality applications in extreme environments.