Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach

Lars Leyendecker, Markus Schmitz, Hans Aoyang Zhou, Vladimir Samsonov, Marius Rittstieg, Daniel Lütticke. Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach. Int. J. Semantic Computing, 16(3):381-402, 2022. [doi]

@article{LeyendeckerSZSR22,
  title = {Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach},
  author = {Lars Leyendecker and Markus Schmitz and Hans Aoyang Zhou and Vladimir Samsonov and Marius Rittstieg and Daniel Lütticke},
  year = {2022},
  doi = {10.1142/S1793351X22430024},
  url = {https://doi.org/10.1142/S1793351X22430024},
  researchr = {https://researchr.org/publication/LeyendeckerSZSR22},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Semantic Computing},
  volume = {16},
  number = {3},
  pages = {381-402},
}