Nicklas Hansen, Hao Su 0001, Xiaolong Wang 0004. Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 3680-3693, 2021. [doi]
@inproceedings{HansenSW21,
title = {Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation},
author = {Nicklas Hansen and Hao Su 0001 and Xiaolong Wang 0004},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/1e0f65eb20acbfb27ee05ddc000b50ec-Abstract.html},
researchr = {https://researchr.org/publication/HansenSW21},
cites = {0},
citedby = {0},
pages = {3680-3693},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}