Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone. Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. In Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan, editors, Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada. pages 15778-15786, AAAI Press, 2024. [doi]
@inproceedings{WangWXZS24,
title = {Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning},
author = {Zizhao Wang and Caroline Wang and Xuesu Xiao and Yuke Zhu and Peter Stone},
year = {2024},
doi = {10.1609/aaai.v38i14.29507},
url = {https://doi.org/10.1609/aaai.v38i14.29507},
researchr = {https://researchr.org/publication/WangWXZS24},
cites = {0},
citedby = {0},
pages = {15778-15786},
booktitle = {Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada},
editor = {Michael J. Wooldridge and Jennifer G. Dy and Sriraam Natarajan},
publisher = {AAAI Press},
}