YODA Lab
The Yeoh’s Optimization and Decision Analytics (YODA) Lab at Washington University in St. Louis uses artificial intelligence based techniques to develop intelligent agent-based systems. Historically, the group has used methods based on decision theory, constraint programming, and heuristic search for intelligent single- and multi-agent systems.
More recently, the group has focused on interdisciplinary approaches to enable human-AI collaboration through human-aware decision-making algorithms. Please visit our research page to find more information on our current research projects!
recent news
Jan 2025: | Stylianos Vasileiou successfully defended his Ph.D. dissertation and will be joining NMSU’s CS department as an assistant professor. Congratulations Stelios! |
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Dec 2024: | AAAI paper on learning user models in argumentation dialogues accepted. |
Sep 2024: | Received an ONR grant with Eugene Vorobeychik and Ning Zhang to work on federated learning for generative AI! Read more about it in this WashU news article. |
Jul 2024: | KR paper on argumentation-based dialectical explanations accepted. |
Jun 2024: | CP papers on incomplete DCOPs and communication-aware DCOPs accepted. |