{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T16:39:26Z","timestamp":1757608766015,"version":"3.44.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"DOE","doi-asserted-by":"publisher","award":["DE-AC02-05CH11231,DEEE0009696"],"award-info":[{"award-number":["DE-AC02-05CH11231,DEEE0009696"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CCF2200052,DMS1664644,IIS1914792"],"award-info":[{"award-number":["CCF2200052,DMS1664644,IIS1914792"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"ONR","doi-asserted-by":"publisher","award":["N000141912571,N000142112844"],"award-info":[{"award-number":["N000141912571,N000142112844"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014462","name":"Mitsubishi Electric Research Laboratories","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014462","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,19]]},"DOI":"10.1109\/icra55743.2025.11127595","type":"proceedings-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T17:28:56Z","timestamp":1756834136000},"page":"15642-15648","source":"Crossref","is-referenced-by-count":0,"title":["Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning"],"prefix":"10.1109","author":[{"given":"Vittorio","family":"Giammarino","sequence":"first","affiliation":[{"name":"Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Queeney","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA,02139"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioannis Ch.","family":"Paschalidis","sequence":"additional","affiliation":[{"name":"Boston University,Division of Systems Engineering,Department of Electrical and Computer Engineering,Boston,MA,USA,02215"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Adversarial imitation learning from visual observations using latent information","volume-title":"Transactions on Machine Learning Research","author":"Giammarino","year":"2024"},{"key":"ref2","article-title":"Visual imitation learning with patch rewards","volume-title":"International Conference on Learning Representations","author":"Liu","year":"2022"},{"key":"ref3","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International Conference on Machine Learning","author":"Chen","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref5","article-title":"Domain-robust visual imitation learning with mutual information constraints","volume-title":"International Conference on Learning Representations","author":"Cetin","year":"2020"},{"volume-title":"Manipulators and manipulation in high dimensional spaces","year":"2016","author":"Kumar","key":"ref6"},{"key":"ref7","article-title":"Generative adversarial imitation learning","volume":"29","author":"Ho","year":"2016","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","article-title":"Learning robust rewards with adversarial inverse reinforcement learning","author":"Fu","year":"2017","journal-title":"arXiv preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279964"},{"key":"ref10","first-page":"2","article-title":"Algorithms for inverse reinforcement learning","volume-title":"International Conference on Machine Learning","volume":"1","author":"Ng","year":"2000"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"key":"ref12","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","volume-title":"AAAI Conference on Artificial Intelligence","volume":"8","author":"Ziebart"},{"key":"ref13","first-page":"1061","article-title":"Learning belief representations for imitation learning in POMDPs","volume-title":"Uncertainty in Artificial Intelligence","author":"Gangwani","year":"2020"},{"key":"ref14","first-page":"3016","article-title":"Visual adversarial imitation learning using variational models","volume":"34","author":"Rafailov","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","article-title":"Generative adversarial imitation from observation","author":"Torabi","year":"2018","journal-title":"arXiv preprint"},{"key":"ref16","article-title":"Imitation learning from observations by minimizing inverse dynamics disagreement","volume":"32","author":"Yang","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3099621"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref20","article-title":"Third-person imitation learning","author":"Stadie","year":"2017","journal-title":"arXiv preprint"},{"key":"ref21","first-page":"5286","article-title":"Domain adaptive imitation learning","volume-title":"International Conference on Machine Learning","author":"Kim","year":"2020"},{"key":"ref22","first-page":"8902","article-title":"Cross-domain imitation from observations","volume-title":"International Conference on Machine Learning","author":"Raychaudhuri","year":"2021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462901"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462891"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2020.xvi.024"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2023.10.136"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3313937"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341705"},{"key":"ref30","article-title":"Domain adaptive imitation learning with visual observation","author":"Choi","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref31","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"International Conference on Machine Learning","author":"Ganin","year":"2015"},{"key":"ref32","first-page":"2555","article-title":"Learning latent dynamics for planning from pixels","volume-title":"International Conference on Machine Learning","author":"Hafner","year":"2019"},{"key":"ref33","first-page":"1259","article-title":"A divergence minimization perspective on imitation learning methods","volume-title":"Proceedings of the Conference on Robot Learning","author":"Ghasemipour","year":"2020"},{"key":"ref34","first-page":"387","article-title":"Deterministic policy gradient algorithms","volume-title":"International Conference on Machine Learning","author":"Silver","year":"2014"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref36","article-title":"Playing atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv preprint"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.29007\/1mjd"},{"key":"ref39","article-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015","journal-title":"arXiv preprint"},{"key":"ref40","first-page":"32974","article-title":"Vrl3: A data-driven framework for visual deep reinforcement learning","volume":"35","author":"Wang","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref41","article-title":"A reinforcement learning approach for robotic unloading from visual observations","author":"Giammarino","year":"2023","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2025,5,19]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2025,5,23]]}},"container-title":["2025 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11127273\/11127223\/11127595.pdf?arnumber=11127595","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T06:19:12Z","timestamp":1756880352000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11127595\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/icra55743.2025.11127595","relation":{},"subject":[],"published":{"date-parts":[[2025,5,19]]}}}