Difference between revisions of "Reid McIlroy-Young"
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'''Reid McIlroy-Young''',<br/> | '''Reid McIlroy-Young''',<br/> | ||
a Canadian computer scientist and Ph.D. student at [[University of Toronto]], working in applying [[Learning|machine learning]] to [https://en.wikipedia.org/wiki/Social_science social science] questions. | a Canadian computer scientist and Ph.D. student at [[University of Toronto]], working in applying [[Learning|machine learning]] to [https://en.wikipedia.org/wiki/Social_science social science] questions. | ||
| − | Along with [[Russell Wang]], [[Siddhartha Sen]], [[Jon Kleinberg]] and [[Ashton Anderson]] he is involved in the [[Maia Chess]] project of a human-like [[Neural Networks|neural network]] chess engine <ref>[https://maiachess.com/ Maia Chess]</ref>. | + | Along with [[Russell Wang]], [[Siddhartha Sen]], [[Jon Kleinberg]] and [[Ashton Anderson]], he is involved in the [[Maia Chess]] project of a human-like [[Neural Networks|neural network]] chess engine <ref>[https://maiachess.com/ Maia Chess]</ref>. |
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=Publications= | =Publications= | ||
Revision as of 20:49, 6 December 2020
Home * People * Reid McIlroy-Young
Reid McIlroy-Young [1]
Reid McIlroy-Young,
a Canadian computer scientist and Ph.D. student at University of Toronto, working in applying machine learning to social science questions.
Along with Russell Wang, Siddhartha Sen, Jon Kleinberg and Ashton Anderson, he is involved in the Maia Chess project of a human-like neural network chess engine [2].
Contents
Publications
- John McLevey, Reid McIlroy-Young (2017). Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science. Journal of Informetrics, Vol. 11, No. 1
- Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson (2020). Aligning Superhuman AI with Human Behavior: Chess as a Model System. In Proceedings of the 26th ACM SIGKDD 2020, arXiv:2006.01855
- Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson (2020). Learning Personalized Models of Human Behavior in Chess. arXiv:2008.10086
