An agent for learning new natural language commands

Author:

Azaria AmosORCID,Srivastava Shashank,Krishnamurthy Jayant,Labutov Igor,Mitchell Tom M.

Funder

Defense Sciences Office, DARPA

Yahoo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference63 articles.

1. Abbeel, P., & Ng, A. Y. (2004). Apprenticeship learning via inverse reinforcement learning. In Proceedings of the twenty-first international conference on Machine learning (p. 1). ACM.

2. Allen, J., Chambers, N., Ferguson, G., Galescu, L., Jung, H., Swift, M., & Taysom, W. (2007). Plow: A collaborative task learning agent. In Proceedings of the national conference on artificial intelligence (Vol. 22, p. 1514). Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999.

3. Amir, O., & Gal, Y. K. (2013). Plan recognition and visualization in exploratory learning environments. ACM Transactions on Interactive Intelligent Systems (TiiS), 3(3), 16.

4. Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009). A survey of robot learning from demonstration. Robotics and Autonomous Systems, 57(5), 469–483.

5. Artzi, Y., Lee, K., & Zettlemoyer, L. (2015). Broad-coverage ccg semantic parsing with AMR. In EMNLP (pp. 1699–1710).

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