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Fast and Guaranteed Safe Controller Synthesis for Nonlinear Vehicle Models., , и . CAV (1), том 12224 из Lecture Notes in Computer Science, стр. 629-652. Springer, (2020)Multi-Agent Motion Planning From Signal Temporal Logic Specifications., , , и . IEEE Robotics Autom. Lett., 7 (2): 3451-3458 (2022)Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric., , , и . CoRR, (2021)Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric., , , и . L4DC, том 144 из Proceedings of Machine Learning Research, стр. 728-741. PMLR, (2021)Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic., и . IROS, стр. 7205-7212. IEEE, (2022)Learning Density Distribution of Reachable States for Autonomous Systems., , , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 124-136. PMLR, (2021)Learning Certified Control Using Contraction Metric., , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 1519-1539. PMLR, (2020)Formal methods for safe autonomy: Data-driven verification, synthesis, and applications. University of Illinois Urbana-Champaign, USA, (2019)Density Constrained Reinforcement Learning., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8682-8692. PMLR, (2021)Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding., , , , и . NeurIPS, (2022)