HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-hyeong Kim, Seunghoon Hong, Kee-Eung Kim. Information-Theoretic State Space Model for Multi-View Reinforcement Learning. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 14249-14282, PMLR, 2023. [doi]
@inproceedings{HwangSJKKHK23,
title = {Information-Theoretic State Space Model for Multi-View Reinforcement Learning},
author = {HyeongJoo Hwang and Seokin Seo and Youngsoo Jang and Sungyoon Kim and Geon-hyeong Kim and Seunghoon Hong and Kee-Eung Kim},
year = {2023},
url = {https://proceedings.mlr.press/v202/hwang23c.html},
researchr = {https://researchr.org/publication/HwangSJKKHK23},
cites = {0},
citedby = {0},
pages = {14249-14282},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
volume = {202},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}