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Stochastic L1-optimal control via forward and backward sampling., , and . Syst. Control. Lett., (2018)From dynamic movement primitives to associative skill memories., , , , , , and . Robotics Auton. Syst., 61 (4): 351-361 (2013)L1-GP: L1 Adaptive Control with Bayesian Learning., , , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 826-837. PMLR, (2020)Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC., , and . IEEE Robotics Autom. Lett., 5 (2): 1207-1214 (2020)Safety Embedded Control of Nonlinear Systems via Barrier States., , and . CoRR, (2021)Learning optimal control via forward and backward stochastic differential equations., and . ACC, page 2155-2161. IEEE, (2016)A Differential Game Theoretic Neural Optimizer for Training Residual Networks., , and . CoRR, (2020)Forward-Backward RRT: Branched Sampled FBSDEs for Stochastic Optimal Control., , , and . CoRR, (2020)Nonlinear Stochastic Control and Information Theoretic Dualities: Connections, Interdependencies and Thermodynamic Interpretations.. Entropy, 17 (5): 3352-3375 (2015)Safe Learning of Quadrotor Dynamics Using Barrier Certificates., , and . CoRR, (2017)