Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato. Hierarchical Reinforcement Learning Under Mixed Observability. In Steven M. LaValle, Jason M. O'Kane, Michael W. Otte, Dorsa Sadigh, Pratap Tokekar, editors, Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2022, College Park, MD, USA, 22-24 June, 2022. Volume 25 of Springer Proceedings in Advanced Robotics, pages 188-204, Springer, 2022. [doi]
@inproceedings{NguyenYBMPA22,
title = {Hierarchical Reinforcement Learning Under Mixed Observability},
author = {Hai Nguyen and Zhihan Yang and Andrea Baisero and Xiao Ma and Robert Platt and Christopher Amato},
year = {2022},
doi = {10.1007/978-3-031-21090-7_12},
url = {https://doi.org/10.1007/978-3-031-21090-7_12},
researchr = {https://researchr.org/publication/NguyenYBMPA22},
cites = {0},
citedby = {0},
pages = {188-204},
booktitle = {Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2022, College Park, MD, USA, 22-24 June, 2022},
editor = {Steven M. LaValle and Jason M. O'Kane and Michael W. Otte and Dorsa Sadigh and Pratap Tokekar},
volume = {25},
series = {Springer Proceedings in Advanced Robotics},
publisher = {Springer},
isbn = {978-3-031-21090-7},
}