Structured per-agent randomness via ranked masking in attention allows symmetric agents to break ties and coordinate, achieving perfect success on symmetric tasks where deterministic policies fail and enabling zero-shot transfer across team sizes.
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MDS screens assets using Fréchet variation dependence on weighted point-curve objects of returns and intraday risk, then applies standard allocation, with claimed consistency guarantees and better out-of-sample performance on Chinese high-frequency stock data.
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Randomness is sometimes necessary for coordination
Structured per-agent randomness via ranked masking in attention allows symmetric agents to break ties and coordinate, achieving perfect success on symmetric tasks where deterministic policies fail and enabling zero-shot transfer across team sizes.
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Large-Scale Asset Selection via Metric Dependence with Enriched High Frequency Information
MDS screens assets using Fréchet variation dependence on weighted point-curve objects of returns and intraday risk, then applies standard allocation, with claimed consistency guarantees and better out-of-sample performance on Chinese high-frequency stock data.