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Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation.

, , , , и . CoRR, (2013)

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Sei Morimoto

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Efficient reuse of previous experiences in humanoid motor learning., , , , , и . Humanoids, стр. 554-559. IEEE, (2014)Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation., , , , и . Neural Networks, (2014)Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface., и . IEEE Trans. Biomed. Eng., 60 (8): 2205-2213 (2013)Reinforcement Learning State Estimator., и . Neural Comput., 19 (3): 730-756 (2007)Robust Reinforcement Learning., и . Neural Comput., 17 (2): 335-359 (2005)Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement., , , и . Adv. Complex Syst., (2013)From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG., , и . ICRA, стр. 1084-1085. IEEE, (2010)Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion., , , , и . ICRA, стр. 4164-4169. IEEE, (2005)An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist., и . Neural Networks, (2018)Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets., , и . CoRL, том 87 из Proceedings of Machine Learning Research, стр. 630-640. PMLR, (2018)