Corpus ID: 14147627

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

@article{Zhang2015TowardsVD,
  title={Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control},
  author={Fangyi Zhang and J. Leitner and Michael Milford and B. Upcroft and P. Corke},
  journal={ArXiv},
  year={2015},
  volume={abs/1511.03791}
}
  • Fangyi Zhang, J. Leitner, +2 authors P. Corke
  • Published 2015
  • Computer Science, Mathematics
  • ArXiv
  • This paper introduces a machine learning based system for controlling a robotic manipulator with visual perception only. The capability to autonomously learn robot controllers solely from raw-pixel images and without any prior knowledge of configuration is shown for the first time. We build upon the success of recent deep reinforcement learning and develop a system for learning target reaching with a three-joint robot manipulator using external visual observation. A Deep Q Network (DQN) was… CONTINUE READING
    149 Citations

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