Consideration on robotic giant-swing motion generated by reinforcement learning

@article{Hara2009ConsiderationOR,
  title={Consideration on robotic giant-swing motion generated by reinforcement learning},
  author={Masayuki Hara and Naoto Kawabe and Naoki Sakai and Jian Huang and Hannes Bleuler and Tetsuro Yabuta},
  journal={2009 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2009},
  pages={4206-4211}
}
This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environment is available. Generally, it is widely said that this type of learning method is not appropriated to obtain dynamic motions because Markov property is not necessarily guaranteed during the dynamic task. However, in this study, we try to avoid this problem by embedding the dynamic information in the robotic state space… CONTINUE READING

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