Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi. Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. In Ido Roll, Danielle S. McNamara, Sergey A. Sosnovsky, Rose Luckin, Vania Dimitrova, editors, Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part I. Volume 12748 of Lecture Notes in Computer Science, pages 356-368, Springer, 2021. [doi]
@inproceedings{AusinMBC21,
title = {Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks},
author = {Markel Sanz Ausin and Mehak Maniktala and Tiffany Barnes and Min Chi},
year = {2021},
doi = {10.1007/978-3-030-78292-4_29},
url = {https://doi.org/10.1007/978-3-030-78292-4_29},
researchr = {https://researchr.org/publication/AusinMBC21},
cites = {0},
citedby = {0},
pages = {356-368},
booktitle = {Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part I},
editor = {Ido Roll and Danielle S. McNamara and Sergey A. Sosnovsky and Rose Luckin and Vania Dimitrova},
volume = {12748},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-78292-4},
}