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Marc Toussaint is a professor at Technische Universität Berlin, leading the Learning Intelligent Systems research lab. His research interests lie at the intersection of artificial intelligence (AI) and robotics, emphasizing the understanding of creating generalizing intelligence through the interplay of learning and reasoning. His work addresses fundamental problems in robotics by bridging AI reasoning, optimization, and machine learning. Specific research topics include physical reasoning, task-and-motion planning using logic-geometric programming, learning heuristics, planning-as-inference paradigms, and algorithmic methods for robotic building construction. Furthermore, Marc develops methodologies in optimization, reinforcement learning, and probabilistic inference, contributing to enhancing the adaptive behavior of robots in real-world scenarios.
Technische Universität Berlin • Berlin, Germany
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.