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Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.

, , , , , and . IEEE Trans. Auton. Ment. Dev., 4 (4): 330-341 (2012)

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Tendon-driven control of biomechanical and robotic systems: A path integral reinforcement learning approach., , , , and . ICRA, page 208-214. IEEE, (2012)Learning motion primitive goals for robust manipulation., , , , , and . IROS, page 325-331. IEEE, (2011)Movement segmentation using a primitive library., , , and . IROS, page 3407-3412. IEEE, (2011)Learning optimal control via forward and backward stochastic differential equations., and . ACC, page 2155-2161. IEEE, (2016)L1-GP: L1 Adaptive Control with Bayesian Learning., , , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 826-837. PMLR, (2020)Mirror Diffusion Models for Constrained and Watermarked Generation., , , and . CoRR, (2023)MPOGames: Efficient Multimodal Partially Observable Dynamic Games., , , , , and . ICRA, page 3189-3196. IEEE, (2023)Maximum Entropy Differential Dynamic Programming., , and . ICRA, page 3422-3428. IEEE, (2022)Neuromuscular stochastic optimal control of a tendon driven index finger model., , and . ACC, page 348-355. IEEE, (2011)The δ - sensitivity and its application to stochastic optimal control of nonlinear diffusions., and . ACC, page 4209-4214. IEEE, (2013)