Zifan Wu, Chao Yu 0004, Chen Chen, Jianye Hao, Hankz Hankui Zhuo. Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]
@inproceedings{Wu0CHZ22,
title = {Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning},
author = {Zifan Wu and Chao Yu 0004 and Chen Chen and Jianye Hao and Hankz Hankui Zhuo},
year = {2022},
url = {http://papers.nips.cc/paper_files/paper/2022/hash/65beb73449888fabcf601b3a3ef4b3a7-Abstract-Conference.html},
researchr = {https://researchr.org/publication/Wu0CHZ22},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
isbn = {9781713871088},
}