Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits
作者： Emma Brunskill , Zoran Popovic , Yun-En Liu , Travis Mandel
DOI:
关键词: Test (assessment) 、 Domain (software engineering) 、 Educational software 、 Artificial intelligence 、 Sociology of scientific knowledge 、 Computer science
摘要: … , a modification of an existing multiarmed bandit algorithm that tries to … weighted objective compared to existing bandit algorithms, and in our … [21] SL Scott. A modern bayesian look at the …
参考文章(26)
Kenneth R. Koedinger, Steven Ritter, Derek Lomas, John C. Stamper, Dixie Ching, Jonathan Steinhart, The rise of the super experiment educational data mining. ,vol. 2012, pp. 196- 200 ,(2012)
Joannès Vermorel, Mehryar Mohri, Multi-armed Bandit Algorithms and Empirical Evaluation Machine Learning: ECML 2005. pp. 437- 448 ,(2005) , 10.1007/11564096_42
Yongwon Lee, Bruce G. Buchanan, John M. Aronis, Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity Machine Learning. ,vol. 30, pp. 217- 240 ,(1998) , 10.1023/A:1007404308006
Aurélien Garivier, Eric Moulines, On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems arXiv: Statistics Theory. ,(2008)
B. J. Winer, Statistical Principles in Experimental Design ,(1962)
L. J. Wei, S. Durham, The Randomized Play-the-Winner Rule in Medical Trials Journal of the American Statistical Association. ,vol. 73, pp. 840- 843 ,(1978) , 10.1080/01621459.1978.10480109
T.L Lai, Herbert Robbins, Asymptotically efficient adaptive allocation rules Advances in Applied Mathematics. ,vol. 6, pp. 4- 22 ,(1985) , 10.1016/0196-8858(85)90002-8
Robert S. Siegler, Clarissa A. Thompson, Michael Schneider, An integrated theory of whole number and fractions development. Cognitive Psychology. ,vol. 62, pp. 273- 296 ,(2011) , 10.1016/J.COGPSYCH.2011.03.001
Edwin B. Wilson, Probable Inference, the Law of Succession, and Statistical Inference Journal of the American Statistical Association. ,vol. 22, pp. 209- 212 ,(1927) , 10.1080/01621459.1927.10502953
Kenneth Koedinger, Michael A. Macasek, Neil T. Heffernan, Jason A. Walonoski, Leena Razzaq, Goss Nuzzo-Jones, Tom Livak, Sanket Choksey, Steven Ritter, Terrence E. Turner, Andrea Knight, Brian Junker, Mingyu Feng, Kai Rasmussen, Edwin Mercado, Ruta Upalekar, Christopher Aniszczyk, Blending Assessment and Instructional Assisting artificial intelligence in education. pp. 555- 562 ,(2005)