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Deep Reinforcement Learning for Humanoid Robot Dribbling**Alexandre Muzio acknowledges CAPES for his scholarship (number 88882.161989/2017-01). Takashi Yoneyama would like to thank CNPq - National Research Council of Brasil for the grant 304134/2-18-0. The authors thank ITAndroids' sponsors: Altium, Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios, and Virtual.PYXIS.

Alexandre F. V. MuzioMarcos R. O. A. MáximoTakashi Yoneyama
Published in: LARS/SBR/WRE (2020)
Keyphrases
  • humanoid robot
  • reinforcement learning
  • biologically inspired
  • imitation learning
  • artificial intelligence