Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang. PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. 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 18564-18576, 2021. [doi]
@inproceedings{AgarwalAASSXY21,
title = {PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators},
author = {Anish Agarwal and Abdullah Alomar and Varkey Alumootil and Devavrat Shah and Dennis Shen and Zhi Xu and Cindy Yang},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/9a3f263a5e5f63006098a05cd7491997-Abstract.html},
researchr = {https://researchr.org/publication/AgarwalAASSXY21},
cites = {0},
citedby = {0},
pages = {18564-18576},
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},
}