On Training Flexible Robots using Deep Reinforcement Learning

@article{Dwiel2019OnTF,
  title={On Training Flexible Robots using Deep Reinforcement Learning},
  author={Zach Dwiel and Madhavun Candadai and Mariano Phielipp},
  journal={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2019},
  pages={4666-4671}
}
The use of robotics in controlled environments has flourished over the last several decades and training robots to perform tasks using control strategies developed from dynamical models of their hardware have proven very effective. However, in many real-world settings, the uncertainties of the environment, the safety requirements and generalized capabilities that are expected of robots make rigid industrial robots unsuitable. This created great research interest in developing control strategies… 
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