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Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, we propose a skill decomposition algorithm to learn independent skills, which are more suitable than primitive skills for task dependent skill transformation.

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Learning Independent SKills

Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, we propose a skill decomposition algorithm to learn independent skills, which are more suitable than primitive skills for task dependent skill transformation.

Required Dependencies:

Pytorch 1.20

mujoco_py 2.0.2.8

Visualization of the practical skills for complex tasks:

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Cite this Work

@inproceedings{10.1145/3366424.3383530,
author = {Qiangxing Tian, GuanchuWang, Jinxin Liu, Donglin Wang and Yachen Kang},
title = {Independent Skill Transfer for Deep Reinforcement Learning},
year = {2020},
series = {IJCAI '20}
}

Acknowledgements

Thanks Guangdong Bozhilin Inc. for their financial support, and thanks all of the contributors to this project!

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Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, we propose a skill decomposition algorithm to learn independent skills, which are more suitable than primitive skills for task dependent skill transformation.

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