| Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Neural Information Processing Systems (NeurIPS), 2021 | 529 | 2021 |
| Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots X Puig, E Undersander, A Szot, MD Cote, TY Yang, R Partsey, R Desai, ... International Conference on Learning Representations (ICLR), 2023 | 87 | 2023 |
| Housekeep: Tidying virtual households using commonsense reasoning Y Kant, A Ramachandran, S Yenamandra, I Gilitschenski, D Batra, A Szot, ... European Conference on Computer Vision (ECCV), 2022 | 77 | 2022 |
| Retrospectives on the Embodied AI Workshop M Deitke, D Batra, Y Bisk, T Campari, AX Chang, DS Chaplot, C Chen, ... arXiv preprint arXiv:2210.06849, 2022 | 56 | 2022 |
| Large language models as generalizable policies for embodied tasks A Szot, M Schwarzer, H Agrawal, B Mazoure, R Metcalf, W Talbott, ... International Conference on Learning Representations (ICLR), 2023 | 43 | 2023 |
| Generalizable imitation learning from observation via inferring goal proximity Y Lee, A Szot, SH Sun, JJ Lim Neural Information Processing Systems (NeurIPS), 2021 | 42 | 2021 |
| Generalization to new actions in reinforcement learning A Jain, A Szot, JJ Lim International Conference on Machine Learning (ICML), 2020 | 42 | 2020 |
| Skill Transformer: A Monolithic Policy for Mobile Manipulation X Huang, D Batra, A Rai, A Szot International Conference on Computer Vision (ICCV), 2023 | 16 | 2023 |
| An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation B Shacklett, LG Rosenzweig, Z Xie, B Sarkar, A Szot, E Wijmans, V Koltun, ... ACM Transactions on Graphics (TOG) 42 (4), 1-13, 2023 | 15 | 2023 |
| The homerobot open vocab mobile manipulation challenge S Yenamandra, A Ramachandran, M Khanna, K Yadav, DS Chaplot, ... NeurIPS: Competition Track, 2023 | 15 | 2023 |
| Habitat rearrangement challenge 2022 A Szot, K Yadav, A Clegg, VP Berges, A Gokaslan, A Chang, M Savva, ... NeurIPS: Competition Track, 2022 | 15 | 2022 |
| Adaptive coordination in social embodied rearrangement A Szot, U Jain, D Batra, Z Kira, R Desai, A Rai International Conference on Machine Learning (ICML), 2023 | 11 | 2023 |
| Grounding Multimodal Large Language Models in Actions A Szot, B Mazoure, H Agrawal, D Hjelm, Z Kira, A Toshev Neural Information Processing Systems (NeurIPS), 2024 | 8 | 2024 |
| BC-IRL: Learning Generalizable Reward Functions from Demonstrations A Szot, A Zhang, D Batra, Z Kira, F Meier International Conference on Learning Representations (ICLR), 2023 | 8 | 2023 |
| Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second VP Berges, A Szot, DS Chaplot, A Gokaslan, R Mottaghi, D Batra, ... Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 7 | 2023 |
| Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge S Yenamandra, A Ramachandran, M Khanna, K Yadav, J Vakil, A Melnik, ... arXiv preprint arXiv:2407.06939, 2024 | 5 | 2024 |
| Reinforcement Learning via Auxiliary Task Distillation AN Harish, L Heck, JP Hanna, Z Kira, A Szot European Conference on Computer Vision (ECCV), 2024 | 1 | 2024 |
| From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons A Szot, B Mazoure, O Attia, A Timofeev, H Agrawal, D Hjelm, Z Gan, Z Kira, ... arXiv preprint arXiv:2412.08442, 2024 | | 2024 |
| ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI A Elawady, G Chhablani, R Ramrakhya, K Yadav, D Batra, Z Kira, A Szot arXiv preprint arXiv:2410.02751, 2024 | | 2024 |
