XinJingHao/Color

Color: Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity

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Color: Train a Real-world Local Path Planner in One Hour

This is the code of the paper Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity. Video can be found here.



Methodology: Color = Sparrow + ASL







The trianing curves of ASL on 57 Atari games are listed as follows.



Citing the Project

To cite this repository in publications:

@article{Color2025XJH,
title = {Train a real-world local path planner in one hour via partially decoupled reinforcement learning and vectorized diversity},
journal = {Engineering Applications of Artificial Intelligence},
volume = {141},
pages = {109726},
year = {2025},
issn = {0952-1976},
doi = {https://doi.org/10.1016/j.engappai.2024.109726},
}

Contributors

XinJingHao

Issues