1 code implementation • NeurIPS 2021 • Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
We present a transformer-based approach to behavioral stylometry in the context of chess, where one attempts to identify the player who played a set of games.
no code implementations • 19 Jul 2022 • Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson
An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text generation, and artistic expression.
1 code implementation • 23 Aug 2020 • Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
AI systems that can capture human-like behavior are becoming increasingly useful in situations where humans may want to learn from these systems, collaborate with them, or engage with them as partners for an extended duration.
1 code implementation • 2 Jun 2020 • Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
We develop and introduce Maia, a customized version of Alpha-Zero trained on human chess games, that predicts human moves at a much higher accuracy than existing engines, and can achieve maximum accuracy when predicting decisions made by players at a specific skill level in a tuneable way.