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Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback

arXiv:2610.02771v1 Announce Type: cross Abstract: We study fixed-confidence best-arm identification under strict 1-bit feedback constraints. At each round, the learner selects an arm and a query set, and receives only a single bit indicating whether the sampled reward belongs to that set. We consid…

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  1. 2026-10-05 04:00 · arXiv stat.ML
    Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback

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