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Hybrid Dynamic Control Algorithm for Humanoid Robots Based on Reinforcement Learning.

, , and . J. Intell. Robotic Syst., 51 (1): 3-30 (2008)

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Learning control algorithms for robot contact task using feedforward neural networks., and . IROS (3), page 522-527. IEEE Computer Society, (1995)Policy gradient fuzzy reinforcement learning control of humanoid walking., and . ICONS, page 98-103. International Federation of Automatic Control, (2009)The Application of Connectionist Structures to Learning Impedance Control in Robotic Contact Tasks., and . Appl. Intell., 7 (4): 315-326 (1997)Intelligent soft-computing paradigms for humanoid robots., and . IROS, page 2533-2538. IEEE, (2002)Decomposed connectionist architecture for fast and robust learning of robot dynamics., and . ICRA, page 2064-2069. IEEE Computer Society, (1992)Intelligent control techniques for humanoid robots., and . ECC, page 1839-1844. IEEE, (2003)Contribution to the indirect decentralized adaptive control of manipulation robots., and . Journal of Intelligent and Robotic Systems, 9 (3): 235-271 (1994)An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance., , and . ICINCO (2), page 211-216. SciTePress, (2012)Using Neural Network Model for Learning Control of Manipulation Robots.. IAS, page 424-433. IOS Press, (1989)Fast learning algorithms for training of feedforward multilayer perceptrons based on extended Kalman filter., and . ICNN, page 196-201. IEEE, (1996)