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Autonomous agents are able to draw on a wide variety of potential sources of task knowledge; however current approaches invariably focus on only one or two.
G F DeJong and R Mooney, ‘Explanation-based learning: An alternative view’, Machine Learning
1986
Earlier work this paper cites.
Tom M Mitchell, R M Keller, and S V Kedar-Cabelli, ‘Explanation-based learning: A unifying view’, Machine Learning
1986
Earlier work this paper cites.
WordNet: An Electronic Lexical Database
1998
Earlier work this paper cites.
John E Laird, The Soar Cognitive Architecture
2012
Earlier work this paper cites.
Thomas R. Hinrichs and Kenneth D. Forbus, ‘X goes first: Teaching simple games through multimodal interaction’, in Advances in Cognitive Systems (ACS)
2014
Earlier work this paper cites.
S. Mohan and J. E. Laird, ‘Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction’, in Proceedings of the AAAI Conference on Artificial Intelligence
2014
Earlier work this paper cites.
John E. Laird, Kevin Gluck, John R. Anderson, K. Forbus, O. Jenkins, C. Lebiere, D. Salvucci, M. Scheutz, A. Thomaz, G. Trafton, R. E. Wray, S. Mohan, and J. R. Kirk, ‘Interactive Task Learning’, IEEE Intelligent Systems
2017
Earlier work this paper cites.
Robyn Speer, Joshua Chin, and Catherine Havasi, ‘ConceptNet 5.5: an open multilingual graph of general knowledge’, in Proc. of the 31st AAAI Conference on Artificial Intelligence
2017
Earlier work this paper cites.
Joyce Y Chai, Qiaozi Gao, Lanbo She, Shaohua Yang, Sari Saba-Sadiya, and Guangyue Xu, ‘Language to action: Towards interactive task learning with physical agents’, in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI)
2018
Cited alongside, same era.
Matthias Scheutz, Evan Krause, Bradley Oosterveld, Tyler Frasca, and Robert Platt, ‘Recursive spoken instruction-based one-shot object and action learning’, in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18)
2018
Cited alongside, same era.
Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions
2019
Cited alongside, same era.
James R. Kirk and John E. Laird, ‘Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer’, in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI)
2019
Cited alongside, same era.
Laria Reynolds and Kyle McDonell, ‘Prompt programming for large language models: Beyond the few-shot paradigm’, in Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
2021
Later among the works it cites.
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Later among the works it cites.
2021
Later among the works it cites.
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, et al., ‘Do as I can, not as I say: Grounding language in robotic affordances’, in 6th Annual Conference on Robot Learning
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