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Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria., , , , , and . IEEE Robotics Autom. Lett., 6 (3): 4978-4985 (2021)Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics., , , , , , and . CoRR, (2021)How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games., , , , , and . CoRR, (2022)Factorization of Multi-Agent Sampling-Based Motion Planning., , , and . CDC, page 8108-8115. IEEE, (2023)A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness., , , , and . CoRR, (2023)Factorization of Dynamic Games over Spatio-Temporal Resources., , , , and . IROS, page 13159-13166. IEEE, (2022)Wormhole Learning., , , , and . ICRA, page 7899-7905. IEEE, (2019)How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games., , , , , and . IEEE Robotics Autom. Lett., 8 (4): 2293-2300 (April 2023)Urban Driving Games: Structure, Computation, and Risk.. ETH Zurich, Zürich, Switzerland, (2023)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/649855).Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning., , , , and . Robotics: Science and Systems, (2019)