Argonaut: Interactive Visual Exploration for Distributed Optimization
3.20T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.27946.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryArgonaut is a containerized dashboard for interactive visual exploration of multi-agent discrete-choice optimization in decentralized settings, letting users upload data, modify decision spaces, and run Java/Python backends while observing the search process. Evaluated on electricity, mobility, and sensor datasets up to 5,600 agents.
Why it mattersA runnable tool that turns black-box distributed optimization into an inspectable human-in-the-loop loop, with concrete performance numbers on real multi-agent datasets.
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