Research on Path-Planning of Manipulator Based on Multi-Agent Reinforcement Learning
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[1] Helge J. Ritter,et al. Neural computation and self-organizing maps - an introduction , 1992, Computation and neural systems series.
[2] Angel P. del Pobil,et al. Practical Motion Planning in Robotics: Current Approaches and Future Directions , 1998 .
[3] Liang Tong,et al. A Speedup Convergent Method for Multi-Agent Reinforcement Learning , 2009, 2009 International Conference on Information Engineering and Computer Science.
[4] Ashwin Ram,et al. Experiments with Reinforcement Learning in Problems with Continuous State and Action Spaces , 1997, Adapt. Behav..
[5] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[6] Heinz Wörn,et al. 6 DOF path planning in dynamic environments-a parallel online approach , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).
[7] Yong K. Hwang,et al. SANDROS: a dynamic graph search algorithm for motion planning , 1998, IEEE Trans. Robotics Autom..
[8] M.A. Wiering,et al. Reinforcement Learning in Continuous Action Spaces , 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.
[9] Narendra Ahuja,et al. Gross motion planning—a survey , 1992, CSUR.