%0 Conference Paper %1 conf/icra/HoshinoOKY22 %A Hoshino, Hana %A Ota, Kei %A Kanezaki, Asako %A Yokota, Rio %B ICRA %D 2022 %I IEEE %K dblp %P 448-454 %T OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. %U http://dblp.uni-trier.de/db/conf/icra/icra2022.html#HoshinoOKY22 %@ 978-1-7281-9681-7

@inproceedings{conf/icra/HoshinoOKY22, added-at = {2022-07-20T00:00:00.000+0200}, author = {Hoshino, Hana and Ota, Kei and Kanezaki, Asako and Yokota, Rio}, biburl = {https://www.bibsonomy.org/bibtex/273cb591f0bf07bcf04d2e987f15eaabc/dblp}, booktitle = {ICRA}, crossref = {conf/icra/2022}, ee = {https://doi.org/10.1109/ICRA46639.2022.9811660}, interhash = {5a9d57073d6bbe8065b1860c6e687f0f}, intrahash = {73cb591f0bf07bcf04d2e987f15eaabc}, isbn = {978-1-7281-9681-7}, keywords = {dblp}, pages = {448-454}, publisher = {IEEE}, timestamp = {2024-04-09T10:31:21.000+0200}, title = {OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching.}, url = {http://dblp.uni-trier.de/db/conf/icra/icra2022.html#HoshinoOKY22}, year = 2022 }