A tabular foundation model with LLM-as-Observer features predicts AI agent decisions in controlled games, outperforming baselines by 4 AUC points and 14% lower error at K=16 interactions.
Autonomous agents modelling other agents: A compre- hensive survey and open problems.Artificial Intelligence, 258:66–95
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Model-free RNN agents in Overcooked-AI spontaneously develop structured internal models of partner abilities when they can allocate tasks, enabling adaptation to novel collaborators.
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Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
A tabular foundation model with LLM-as-Observer features predicts AI agent decisions in controlled games, outperforming baselines by 4 AUC points and 14% lower error at K=16 interactions.
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Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Model-free RNN agents in Overcooked-AI spontaneously develop structured internal models of partner abilities when they can allocate tasks, enabling adaptation to novel collaborators.