Ke Sun 0013, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong. Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. 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 3732-3743, 2021. [doi]
@inproceedings{SunWLZPJJK21,
title = {Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization},
author = {Ke Sun 0013 and Yafei Wang and Yi Liu and Yingnan Zhao and Bo Pan and Shangling Jui and Bei Jiang and Linglong Kong},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/1e79596878b2320cac26dd792a6c51c9-Abstract.html},
researchr = {https://researchr.org/publication/SunWLZPJJK21},
cites = {0},
citedby = {0},
pages = {3732-3743},
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},
}