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Erdi Sayar; Giovanni Iacca; Alois Knoll, Curriculum learning for robot manipulation tasks with sparse reward through environment shifts, IEEE Access, March 2024

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COHER

This is the original implementation of the COHER approach proposed in: E. Sayar, G. Iacca, A. Knoll, Curriculum learning for robot manipulation tasks with sparse reward through environment shifts, IEEE Access, 2024

To be able to reproduce the results;

cd /code/coher/docker
docker-compose run --rm coher

Citation

If you use this repo in your research, please consider citing the paper as follows.

@ARTICLE{10480429,
  author={Sayar, Erdi and Iacca, Giovanni and Knoll, Alois},
  journal={IEEE Access}, 
  title={Curriculum learning for robot manipulation tasks with sparse reward through environment shifts}, 
  year={2024},
  volume={},
  number={},
  pages={1-1},
  keywords={Task analysis;Robots;Heuristic algorithms;Statistics;Sociology;Neural networks;Euclidean distance;Curriculum learning-based reinforcement learning;hindsight experience replay;multi-goal reinforcement learning;robotic control},
  doi={10.1109/ACCESS.2024.3382264}}

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Erdi Sayar; Giovanni Iacca; Alois Knoll, Curriculum learning for robot manipulation tasks with sparse reward through environment shifts, IEEE Access, March 2024

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