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Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement.

, , , and . Adv. Complex Syst., (2013)

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Reinforcement Learning State Estimator., and . Neural Comput., 19 (3): 730-756 (2007)Robust Reinforcement Learning., and . Neural Comput., 17 (2): 335-359 (2005)Efficient reuse of previous experiences in humanoid motor learning., , , , , and . Humanoids, page 554-559. IEEE, (2014)Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface., and . IEEE Trans. Biomed. Eng., 60 (8): 2205-2213 (2013)Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation., , , , and . Neural Networks, (2014)Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement., , , and . Adv. Complex Syst., (2013)Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot., , , , and . IEEE Robotics Autom. Lett., 7 (2): 3890-3897 (2022)Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets., , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 630-640. PMLR, (2018)Off-line path integral reinforcement learning using stochastic robot dynamics approximated by sparse pseudo-input Gaussian processes: Application to humanoid robot motor learning in the real environment., and . ICRA, page 1311-1316. IEEE, (2013)Minimax differential dynamic programming: application to a biped walking robot., , and . IROS, page 1927-1932. IEEE, (2003)