Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. Ilboudo, W. E. L., Kobayashi, T., & Sugimoto, K. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 7828–7834, Sep., 2021. Prague, Czech Republic (online). Paper doi bibtex @inproceedings{ilboudoIROS2021,
author = {Wendyam Eric Lionel Ilboudo and Taisuke Kobayashi and Kenji Sugimoto},
title = {Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2021},
month = {Sep.},
pages = {7828--7834},
organization = {Prague, Czech Republic (online)},
url={https://arxiv.org/abs/2108.00625},
doi = {10.1109/IROS51168.2021.9636413},
youtube={https://youtu.be/FfW_moT1-wU},
}
% adaptive eligibility traces 2021/6
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