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#machine learning Preprint Sep 2026

ICMAPE: In-Context Multiagent Pure Exploration

In some multi-agent systems, the quantity to be optimized is not an externally specified reward but the information acquired about unknown properties of the environment as done in active sequential hypothesis testing (ASHT) problems. However, the ASHT literature tends to focus on finite single-agent problems with well-...

Xin-Yi Hu, Alessio Russo, Aldo Pacchiano · 0 citations

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