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Fei Fang, Associate Professor at the Software and Societal Systems Department at Carnegie Mellon University, will discuss societal challenges spanning security, environmental sustainability, food security, and transportation that often involve complex decision-making by multiple self-interested agents. In her research, she delves into the development of game theory and machine learning-based methodologies and tools to tackle these challenges, with a strong focus on contributing to the social good. In this talk, she will introduce the work that has led to successful applications in ferry protection, environmental conservation, and food rescue. Moreover, she will cover her foundational research in inverse game theory, scalable game solving, and interpretable multi-agent reinforcement learning. These advancements are motivated by the real-world problems she has been working on and enables her to tackle more complex decision-making scenarios in the future.

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Heather Power

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