A tempo-relational neural architecture jointly models temporal and relational aspects of team interactions to outperform prior approaches on team performance prediction and enable efficient multi-task prediction of team constructs.
arXiv preprint arXiv:2303.00413 , year=
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MindZero is a self-supervised RL framework that trains MLLMs for online Theory of Mind reasoning by rewarding mental-state hypotheses that best explain observed actions via a planner, then distills this into fast inference.
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Boosting Team Modeling through Tempo-Relational Representation Learning
A tempo-relational neural architecture jointly models temporal and relational aspects of team interactions to outperform prior approaches on team performance prediction and enable efficient multi-task prediction of team constructs.
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MindZero: Learning Online Mental Reasoning With Zero Annotations
MindZero is a self-supervised RL framework that trains MLLMs for online Theory of Mind reasoning by rewarding mental-state hypotheses that best explain observed actions via a planner, then distills this into fast inference.