Bandit algorithms to personalize educational chatbots

Author:

Cai WilliamORCID,Grossman Josh,Lin Zhiyuan Jerry,Sheng Hao,Wei Johnny Tian-Zheng,Williams Joseph Jay,Goel Sharad

Funder

Office of Naval Research

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference48 articles.

1. Agrawal, S., & Goyal, N. (2013, May). Thompson sampling for contextual bandits with linear payoffs. In International Conference on Machine Learning (pp. 127–135). PMLR.

2. Al-Rfou, R., Pickett, M., Snaider, J., Sung, Y.-H., Strope, B., & Kurzweil, R. (2016). Conversational contextual cues: The case of personalization and history for response ranking. arXiv preprint arXiv:1606.00372

3. Aleven, V., McLaren, B. M., & Sewall, J. (2009a). Scaling up programming by demonstration for intelligent tutoring systems development: An open-access web site for middle school mathematics learning. IEEE Transactions on Learning Technologies, 2(2), 64–78

4. Aleven, V., Mclaren,B. M., Sewall, J., & Koedinger, K. R. (2009b). A new paradigm for intelligent tutoring systems: Example-tracing tutors. Technical report

5. Aleven, V., McLaren, B. M., Sewall, J., van Velsen, M., Popescu, O., Demi, S., Ringenberg, M., & Koedinger, K. R. (2016). Example-tracing tutors: Intelligent tutor development for non-programmers. International Journal of Artificial Intelligence in Education, 26(1), 224–269

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