%0 Conference Paper %1 conf/iros/YokoyamaLBH22 %A Yokoyama, Naoki %A Luo, Qian %A Batra, Dhruv %A Ha, Sehoon %B IROS %D 2022 %I IEEE %K dblp %P 1748-1755 %T Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge. %U http://dblp.uni-trier.de/db/conf/iros/iros2022.html#YokoyamaLBH22 %@ 978-1-6654-7927-1

@inproceedings{conf/iros/YokoyamaLBH22, added-at = {2023-01-03T00:00:00.000+0100}, author = {Yokoyama, Naoki and Luo, Qian and Batra, Dhruv and Ha, Sehoon}, biburl = {https://www.bibsonomy.org/bibtex/29252a0fbc27e4f5d826b325b0deab76d/dblp}, booktitle = {IROS}, crossref = {conf/iros/2022}, ee = {https://doi.org/10.1109/IROS47612.2022.9981743}, interhash = {998837ed67b10696a5a4eb6a3d0b0ef7}, intrahash = {9252a0fbc27e4f5d826b325b0deab76d}, isbn = {978-1-6654-7927-1}, keywords = {dblp}, pages = {1748-1755}, publisher = {IEEE}, timestamp = {2024-04-09T12:09:07.000+0200}, title = {Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge.}, url = {http://dblp.uni-trier.de/db/conf/iros/iros2022.html#YokoyamaLBH22}, year = 2022 }