As the 23rd IFAC World Congress came to a close, we look back on a week full of scientific exchange, discussions, and new connections with the international control, automation, and systems community.
This year, AMCO contributed six papers spanning machine learning, reinforcement learning, explainable AI, mobility, and intelligent control:
Papers & talks
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Mixup Buffer: Enhancing Soft Monotonicity with Dynamic Violation Replay
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Leveraging Normalizing Flows for Policy Learning in the Competitive Two-Player Zero-Sum Game of Air Hockey
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Accelerated Explainable Anomaly Detection for Semiconductor Manufacturing
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Reinforcement Learning in Ultimate Tic-Tac-Toe: Benchmarking Strategic Complexity
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Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
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Balancing Efficiency and Fairness in Traffic Light Control through Deep Reinforcement Learning
Beyond our own papers, we were also glad to contribute to the scientific program through the co-organization of two special sessions: “Intelligent Methods and Tools Supporting Decision Making in Manufacturing / Systems and Supply Chains,” together with Carlos Eduardo Pereira, Michael Freitag, Raphaël Oger, and Enzo Morosini Frazzon; and “Advances in Machine Learning and Intelligent Control for Industrial Automation and Robotics,” together with Sean McLoone and Lucian Busoniu.
It was a valuable opportunity to share our latest research, exchange perspectives with colleagues from around the world, and strengthen collaborations across AI, control, automation, and industrial systems. We left Busan with plenty of new ideas, stimulating discussions, and inspiration for what comes next — thanks to the organizers and to everyone who helped make IFAC 2026 such a rich scientific experience.