Contextual multi-armed bandit algorithms for personalized learning action selection
Contextual multi-armed bandit algorithms for personalized learning action selection
Indu Manickam,Andrew S. Lan,Richard Baraniuk
2017 · DOI: 10.1109/ICASSP.2017.7953377
IEEE International Conference on Acoustics, Speech, and Signal Processing · 18 Citations
TLDR
This paper proposes three new Bayesian policies to select personalized learning actions for students that each exhibits advantages over prior work, and experimentally validate them using real-world datasets.