ESE PhD Thesis Defense – “Learning-based Safe and Robust Control for Multi-Agent Systems”
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WYSIWYG
AI-enabled systems have become ubiquitous and integral to safety-critical domains, e.g., autonomous vehicles and aerial robotics. Despite promising empirical results, decision-making processes for critical systems incorporating AI components require careful consideration, as failures may have catastrophic consequences. One key challenge is that various uncertainties will inevitably arise from system limitations, black-box models, or environmental factors, […]

