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Recent research efforts enable study for natural language grounded navigation in photo-realistic environments, e.g., following natural language instructions or dialog.
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Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., Reid, I., Gould, S., van den Hengel, A.: Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3674–3683 (2018)
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Jain, V., Magalhães, G., Ku, A., Vaswani, A., Ie, E., Baldridge, J.: Stay on the path: Instruction fidelity in vision-and-language navigation. In: ACL (2019)
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Ke, L., Li, X., Bisk, Y., Holtzman, A., Gan, Z., Liu, J., Gao, J., Choi, Y., Srinivasa, S.: Tactical rewind: Self-correction via backtracking in vision-and-language navigation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 6741–6749 (2019)
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Li, X., Li, C., Xia, Q., Bisk, Y., Çelikyilmaz, A., Gao, J., Smith, N.A., Choi, Y.: Robust navigation with language pretraining and stochastic sampling. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pp. 1494–1499. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/D19-1159, https://doi.org/10.18653/v1/D19-1159
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Espeholt, L., Soyer, H., Munos, R., Simonyan, K., Mnih, V., Ward, T., Doron, Y., Firoiu, V., Harley, T., Dunning, I., Legg, S., Kavukcuoglu, K.: IMPALA: Scalable distributed deep-RL with importance weighted actor-learner architectures. In: Dy, J., Krause, A. (eds.) Proceedings of the 35th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 80, pp. 1407–1416. PMLR, Stockholmsmässan, Stockholm Sweden (10–15 Jul 2018), http://proceedings.mlr.press/v80/espeholt18a.html
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Fried, D., Hu, R., Cirik, V., Rohrbach, A., Andreas, J., Morency, L.P., Berg-Kirkpatrick, T., Saenko, K., Klein, D., Darrell, T.: Speaker-follower models for vision-and-language navigation. In: Neural Information Processing Systems (NeurIPS) (2018)
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Li, Y., Baldwin, T., Cohn, T.: What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. In: NAACL-HLT (2018)
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Liu, A.H., Liu, Y.C., Yeh, Y.Y., Wang, Y.C.F.: A unified feature disentangler for multi-domain image translation and manipulation. In: Advances in Neural Information Processing Systems. pp. 2590–2599 (2018)
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Mirowski, P., Grimes, M., Malinowski, M., Hermann, K.M., Anderson, K., Teplyashin, D., Simonyan, K., Kavukcuoglu, K., Zisserman, A., Hadsell, R.: Learning to navigate in cities without a map. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems 31, pp. 2419–2430. Curran Associates, Inc. (2018), http://papers.nips.cc/paper/7509-learning-to-navigate-in-cities-without-a-map.pdf
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Wang, X., Xiong, W., Wang, H., Yang Wang, W.: Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 37–53 (2018)
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Ma, C.Y., Wu, Z., AlRegib, G., Xiong, C., Kira, Z.: The regretful agent: Heuristic-aided navigation through progress estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 6732–6740 (2019)
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Manolis Savva*, Abhishek Kadian*, Oleksandr Maksymets*, Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., Parikh, D., Batra, D.: Habitat: A Platform for Embodied AI Research. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
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Nguyen, K., Dey, D., Brockett, C., Dolan, B.: Vision-based navigation with language-based assistance via imitation learning with indirect intervention. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 12527–12537 (2019)
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Romijnders, R., Meletis, P., Dubbelman, G.: A domain agnostic normalization layer for unsupervised adversarial domain adaptation. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). pp. 1866–1875. IEEE (2019)
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Tan, H., Yu, L., Bansal, M.: Learning to navigate unseen environments: Back translation with environmental dropout. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). pp. 2610–2621. Association for Computational Linguistics, Minneapolis, Minnesota (Jun 2019). https://doi.org/10.18653/v1/N19-1268
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Thomason, J., Murray, M., Cakmak, M., Zettlemoyer, L.: Vision-and-dialog navigation. In: Conference on Robot Learning (CoRL) (2019)
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Wang, X., Huang, Q., Celikyilmaz, A., Gao, J., Shen, D., Wang, Y.F., Wang, W.Y., Zhang, L.: Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 6629–6638 (2019)
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Hao, W., Li, C., Li, X., Carin, L., Gao, J.: Towards learning a generic agent for vision-and-language navigation via pre-training. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)
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Li, J., Wang, X., Tang, S., Shi, H., Wu, F., Zhuang, Y., Wang, W.Y.: Unsupervised reinforcement learning of transferable meta-skills for embodied navigation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12123–12132 (2020)
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Qi, Y., Wu, Q., Anderson, P., Wang, X., Wang, W.Y., Shen, C., Hengel, A.v.d.: Reverie: Remote embodied visual referring expression in real indoor environments. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9982–9991 (2020)
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