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Risk-Constrained Reinforcement Learning with Percentile Risk Criteria., , , and . J. Mach. Learn. Res., (2017)Deterministic sampling-based motion planning: Optimality, complexity, and performance., , and . Int. J. Robotics Res., 37 (1): 46-61 (2018)Evaluating the Effectiveness of Index-Based Treatment Allocation., , , , , and . CoRR, (2024)Revisiting the Asymptotic Optimality of RRT., , , , and . CoRR, (2019)Statistical Inference After Adaptive Sampling in Non-Markovian Environments., , and . CoRR, (2022)A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis., , , and . CoRR, (2021)Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics., , and . CoRR, (2014)An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning., , , , , and . IROS, page 2072-2078. IEEE, (2015)Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty., , and . ISRR (2), volume 3 of Springer Proceedings in Advanced Robotics, page 343-361. Springer, (2015)Exact Asymptotics for Linear Quadratic Adaptive Control., and . J. Mach. Learn. Res., (2021)