Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris 0001. Learning Markov State Abstractions for Deep Reinforcement Learning. 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 8229-8241, 2021. [doi]
@inproceedings{AllenPGK21,
title = {Learning Markov State Abstractions for Deep Reinforcement Learning},
author = {Cameron Allen and Neev Parikh and Omer Gottesman and George Konidaris 0001},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/454cecc4829279e64d624cd8a8c9ddf1-Abstract.html},
researchr = {https://researchr.org/publication/AllenPGK21},
cites = {0},
citedby = {0},
pages = {8229-8241},
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},
}