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Ionatan Kuperwajs
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- 2025
[c6]Ionatan Kuperwajs, Evan M. Russek, Lisa Schut, Yotam Sagiv, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths:
Exploring resource-rational planning under time pressure in online chess. CogSci 2025
[c5]Lisa Schut, Evan M. Russek, Ionatan Kuperwajs, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths:
Learning in online chess increases with more time spent thinking and diversity of experience. CogSci 2025
[c4]Lionel Wong, Tracey Mills, Ionatan Kuperwajs, Katherine M. Collins, Tom Griffiths:
Meta-reasoning: Deciding which game to play, which problem to solve, and when to quit. CogSci 2025
[i1]Katherine M. Collins, Cedegao E. Zhang, Graham Todd, Lance Ying, Mauricio Barba da Costa, Ryan Liu, Prafull Sharma, Adrian Weller, Ionatan Kuperwajs, Lionel Wong, Joshua B. Tenenbaum, Thomas L. Griffiths:
Evaluating Language Models' Evaluations of Games. CoRR abs/2510.10930 (2025)- 2022
[c3]Ionatan Kuperwajs, Wei Ji Ma:
A joint analysis of dropout and learning functions in human decision-making with massive online data. CogSci 2022
[c2]Ionatan Kuperwajs, Heiko H. Schütt, Wei Ji Ma:
Improving a model of human planning via large-scale data and deep neural networks. CogSci 2022- 2021
[c1]Ionatan Kuperwajs, Wei Ji Ma:
Planning to plan: a Bayesian model for optimizing the depth of decision tree search. CogSci 2021
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