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We introduce Alexa Arena, a user-centric simulation platform for Embodied AI (EAI) research.
Artificial intelligence for adaptive computer games
Ram, A., Ontañón, S., and Mehta, M · 2007
Earlier work this paper cites.
Deep residual learning for image recognition, 2015
He, K., Zhang, X., Ren, S., and Sun, J · 2015
Earlier work this paper cites.
Can we reliably measure the general factor of intelligence (g) through commercial video games? yes, we can!
Ángeles Quiroga, M., Escorial, S., Román, F. J., Morillo, D., Jarabo, A., Privado, J., Hernández, M., Gallego, B., and Colom, R · 2015
Earlier work this paper cites.
Beattie, C., Leibo, J. Z., Teplyashin, D., Ward, T., Wainwright, M., Küttler, H., Lefrancq, A., Green, S., Valdés, V., Sadik, A., et al · 2016
Earlier work this paper cites.
The malmo platform for artificial intelligence experimentation
Johnson, M., Hofmann, K., Hutton, T., and Bignell, D · 2016
Earlier work this paper cites.
He, K., Gkioxari, G., Dollár, P., and Girshick, R. B · 2017
Earlier work this paper cites.
Ai2-thor: An interactive 3d environment for visual ai
Kolve, E., Mottaghi, R., Han, W., VanderBilt, E., Weihs, L., Herrasti, A., Gordon, D., Zhu, Y., Gupta, A., and Farhadi, A · 2017
Earlier work this paper cites.
Elf: An extensive, lightweight and flexible research platform for real-time strategy games
Tian, Y., Gong, Q., Shang, W., Wu, Y., and Zitnick, C. L · 2017
Earlier work this paper cites.
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., Reid, I., Gould, S., and Van Den Hengel, A · 2018
Earlier work this paper cites.
Roboturk: A crowdsourcing platform for robotic skill learning through imitation
Mandlekar, A., Zhu, Y., Garg, A., Booher, J., Spero, M., Tung, A., Gao, J., Emmons, J., Gupta, A., Orbay, E., et al · 2018
Earlier work this paper cites.
Mapping instructions to actions in 3d environments with visual goal prediction
Misra, D., Bennett, A., Blukis, V., Niklasson, E., Shatkhin, M., and Artzi, Y · 2018
Earlier work this paper cites.
Virtualhome: Simulating household activities via programs
Puig, X., Ra, K., Boben, M., Li, J., Wang, T., Fidler, S., and Torralba, A · 2018
Earlier work this paper cites.
Gibson env: Real-world perception for embodied agents
Xia, F., Zamir, A. R., He, Z., Sax, A., Malik, J., and Savarese, S · 2018
Earlier work this paper cites.
On the utility of learning about humans for human-ai coordination
Carroll, M., Shah, R., Ho, M. K., Griffiths, T., Seshia, S., Abbeel, P., and Dragan, A · 2019
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Vrkitchen: an interactive 3d virtual environment for task-oriented learning
Gao, X., Gong, R., Shu, T., Xie, X., Wang, S., and Zhu, S.-C · 2019
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Help, anna! visual navigation with natural multimodal assistance via retrospective curiosity-encouraging imitation learning
Nguyen, K. and Daumé III, H · 2019
Cited alongside, same era.
Habitat: A platform for embodied ai research
Savva, M., Kadian, A., Maksymets, O., Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., et al · 2019
Cited alongside, same era.
Evalai: Towards better evaluation systems for ai agents
Yadav, D., Jain, R., Agrawal, H., Chattopadhyay, P., Singh, T., Jain, A., Singh, S. B., Lee, S., and Batra, D · 2019
Episodic transformer for vision-and-language navigation
Pashevich, A., Schmid, C., and Sun, C · 2021
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Learning transferable visual models from natural language supervision, 2021
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I · 2021
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Habitat 2.0: Training home assistants to rearrange their habitat
Szot, A., Clegg, A., Undersander, E., Wijmans, E., Zhao, Y., Turner, J., Maestre, N., Mukadam, M., Chaplot, D. S., Maksymets, O., et al · 2021
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Do as i can, not as i say: Grounding language in robotic affordances
Ahn, M., Brohan, A., Brown, N., Chebotar, Y., Cortes, O., David, B., Finn, C., Gopalakrishnan, K., Hausman, K., Herzog, A., et al · 2022
Later among the works it cites.
Dialfred: Dialogue-enabled agents for embodied instruction following
Gao, X., Gao, Q., Gong, R., Lin, K., Thattai, G., and Sukhatme, G. S · 2022
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Just ask: An interactive learning framework for vision and language navigation
Chi, T.-C., Shen, M., Eric, M., Kim, S., and Hakkani-tur, D · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al · 2020
Cited alongside, same era.
Threedworld: A platform for interactive multi-modal physical simulation
Gan, C., Schwartz, J., Alter, S., Schrimpf, M., Traer, J., De Freitas, J., Kubilius, J., Bhandwaldar, A., Haber, N., Sano, M., et al · 2020
Cited alongside, same era.
Joint mind modeling for explanation generation in complex human-robot collaborative tasks
Gao, X., Gong, R., Zhao, Y., Wang, S., Shu, T., and Zhu, S.-C · 2020
Cited alongside, same era.
Rmm: A recursive mental model for dialog navigation
Roman, H. R., Bisk, Y., Thomason, J., Celikyilmaz, A., and Gao, J · 2020
Cited alongside, same era.
Alfred: A benchmark for interpreting grounded instructions for everyday tasks
Shridhar, M., Thomason, J., Gordon, D., Bisk, Y., Han, W., Mottaghi, R., Zettlemoyer, L., and Fox, D · 2020
Cited alongside, same era.
SAPIEN: A simulated part-based interactive environment
Xiang, F., Qin, Y., Mo, K., Xia, Y., Zhu, H., Liu, F., Liu, M., Jiang, H., Yuan, Y., Wang, H., Yi, L., Chang, A. X., Guibas, L. J., and Su, H · 2020
Cited alongside, same era.
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Inoue, Y. and Ohashi, H · 2022
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FILM: Following instructions in language with modular methods
Min, S. Y., Chaplot, D. S., Ravikumar, P. K., Bisk, Y., and Salakhutdinov, R · 2022
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TEACh: Task-driven Embodied Agents that Chat
Padmakumar, A., Thomason, J., Shrivastava, A., Lange, P., Narayan-Chen, A., Gella, S., Piramithu, R., Tur, G., and Hakkani-Tur, D · 2022
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Progprompt: Generating situated robot task plans using large language models
Singh, I., Blukis, V., Mousavian, A., Goyal, A., Xu, D., Tremblay, J., Fox, D., Thomason, J., and Garg, A · 2022
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Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments
Srivastava, S., Li, C., Lingelbach, M., Martín-Martín, R., Xia, F., Vainio, K. E., Lian, Z., Gokmen, C., Buch, S., Liu, K., et al · 2022
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Cris: Clip-driven referring image segmentation
Wang, Z., Lu, Y., Li, Q., Tao, X., Guo, Y., Gong, M., and Liu, T · 2022
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In situ bidirectional human-robot value alignment
Yuan, L., Gao, X., Zheng, Z., Edmonds, M., Wu, Y. N., Rossano, F., Lu, H., Zhu, Y., and Zhu, S.-C · 2022
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Wang, Z., Cai, S., Liu, A., Ma, X., and Liang, Y · 2023
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