🔗 Who cites «Mapping Instructions and Visual Observations to Actions with Reinforcement Learning»

70 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Mapping Instructions and Visual Observations to Actions with Reinforcement Learning»

1. Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPeter Anderson, Qi Wu, Damien Teney, et al.2017 · 1,414 citations
2. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesarXiv:2204.01691Michael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 941 citations
3. ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday TasksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox2019 · 765 citations
4. Learning to Navigate Unseen Environments: Back Translation with Environmental DropoutConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hao Tan, Licheng Yu, Mohit Bansal2019 · 358 citations
5. A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial IntelligenceJelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.2019 · 231 citations
6. Mapping Natural Language Instructions to Mobile UI Action SequencesAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Li, Jiacong He, Xin Zhou, et al.2020 · 137 citations
7. Executing Instructions in Situated Collaborative InteractionsConference on Empirical Methods in Natural Language Processing (EMNLP)Alane Suhr, Claudia Yan, Charlotte Schluger, et al.2019 · 99 citations
8. Representation Learning for Grounded Spatial ReasoningTransactions of the Association for Computational Linguistics (TACL)Michael Janner, Karthik Narasimhan, Regina Barzilay2018 · 70 citations
9. HeGeL: A Novel Dataset for Geo-Location from Hebrew TextTzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.2023 · 4 citations

61 more papers of our library cite it; they have no page here yet.

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