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Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics.

, , and . CDC, page 2574-2581. IEEE, (2015)

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Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications., , , and . CoRR, (2023)Statistical Inference with M-Estimators on Adaptively Collected Data., , and . NeurIPS, page 7460-7471. (2021)Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions., and . ISRR, volume 114 of Springer Tracts in Advanced Robotics, page 667-684. Springer, (2013)Revisiting the Asymptotic Optimality of RRT., , , , and . ICRA, page 2189-2195. IEEE, (2020)Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics., , and . CDC, page 2574-2581. IEEE, (2015)Exact Asymptotics for Linear Quadratic Adaptive Control., and . J. Mach. Learn. Res., (2021)Map-Predictive Motion Planning in Unknown Environments., , , and . ICRA, page 8552-8558. IEEE, (2020)Optimal sampling-based motion planning under differential constraints: The driftless case., , and . ICRA, page 2368-2375. IEEE, (2015)Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance., , and . ISRR (2), volume 3 of Springer Proceedings in Advanced Robotics, page 507-525. Springer, (2015)Risk-Constrained Reinforcement Learning with Percentile Risk Criteria., , , and . CoRR, (2015)