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Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty.

, , and . IEEE Robotics Autom. Lett., 5 (2): 3682-3690 (2020)

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Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty., , and . IEEE Robotics Autom. Lett., 5 (2): 3682-3690 (2020)Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization., and . CDC, page 624-631. IEEE, (2023)Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants., , , and . IEEE Robotics Autom. Lett., 6 (3): 5129-5136 (2021)Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems., , , and . ICRA, page 12700-12706. IEEE, (2023)Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds., , and . CoRR, (2024)Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems., , , and . CoRR, (2022)Compositional safety rules for inter-triggering hybrid automata., , and . HSCC, page 4:1-4:11. ACM, (2021)Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations., , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 1612-1639. PMLR, (2020)Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations., , , and . WAFR, volume 17 of Springer Proceedings in Advanced Robotics, page 18-36. Springer, (2021)Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations., , and . CoRR, (2021)