BEGIN:VCALENDAR BEGIN:VEVENT SUMMARY:CS Colloquium: Suguman Bansal (University of Pennsylvania) - Specification-Guided Policy Synthesis DESCRIPTION:Speaker: Suguman Bansal , University of Pennsylvania Talk Title: Specification-Guided Policy Synthesis Series: CS Colloquium Abstract: Policy synthesis or algorithms to design policies for computational systems is one of the fundamental problems in computer science. Standing on the shoulders of simplified yet concise task-specification using high-level logical specification languages, this talk will cover synthesis algorithms using two contrasting approaches. First, the classical logic-based approach of reactive synthesis; Second, the modern learning-based approach of reinforcement learning. This talk will cover our scalable and efficient state-of-the-art algorithms for synthesis from high-level specifications using both these approaches, and investigate whether formal guarantees are possible. We will conclude with a forward-looking view of these contributions to trustworthy AI. \n \n This lecture satisfies requirements for CSCI 591: Research Colloquium Biography: Suguman Bansal is an NSF/CRA Computing Innovation Postdoctoral Fellow at the University of Pennsylvania, mentored by Prof. Rajeev Alur. Her primary area of research is Formal Methods and Programming Langauge, and her secondary area of research is Artificial Intelligence. \n \n https://suguman.github.io/ Host: Mukund Raghothaman DTSTART:20220405T110000 LOCATION:OHE 132 URL;VALUE=URI: DTEND:20220405T120000 END:VEVENT END:VCALENDAR