AINeutralarXiv – CS AI · Mar 34/103
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In-Context Learning for Pure Exploration
Researchers introduce In-Context Pure Explorer (ICPE), a Transformer-based model that learns to actively collect data and identify correct hypotheses in sequential testing problems without parameter updates. The model demonstrates competitive performance across various benchmarks including multi-armed bandit problems and generalized search tasks.