%0 Conference Paper %1 conf/icra/LvYSLXL22 %A Lv, Jun %A Yu, Qiaojun %A Shao, Lin %A Liu, Wenhai %A Xu, Wenqiang %A Lu, Cewu %B ICRA %D 2022 %I IEEE %K dblp %P 98-105 %T SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning. %U http://dblp.uni-trier.de/db/conf/icra/icra2022.html#LvYSLXL22 %@ 978-1-7281-9681-7

@inproceedings{conf/icra/LvYSLXL22, added-at = {2023-06-29T00:00:00.000+0200}, author = {Lv, Jun and Yu, Qiaojun and Shao, Lin and Liu, Wenhai and Xu, Wenqiang and Lu, Cewu}, biburl = {https://www.bibsonomy.org/bibtex/2d0de84f6dc38cce31528f1680b9148a9/dblp}, booktitle = {ICRA}, crossref = {conf/icra/2022}, ee = {https://doi.org/10.1109/ICRA46639.2022.9811859}, interhash = {5788029226875b6fe4653a7b0145de43}, intrahash = {d0de84f6dc38cce31528f1680b9148a9}, isbn = {978-1-7281-9681-7}, keywords = {dblp}, pages = {98-105}, publisher = {IEEE}, timestamp = {2024-04-09T10:31:21.000+0200}, title = {SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning.}, url = {http://dblp.uni-trier.de/db/conf/icra/icra2022.html#LvYSLXL22}, year = 2022 }