BanditRLlib
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Heavy-tailed bandits

Raw-moment sample-index truncation: the unchanged source-radius4/r^-2 policy now has a compiled corrected expected-regret chain with additive5Delta; the conservative actual-policy expected pseudo-regret chain has independent acceptance with explicit source deltas. A complete finite Lean counterexample rejects the literal printed regret coefficient for valid0/-1 arms at2^50; ten reviewed declarations now have shared registry mappings; recent-source proof dependencies and all-topic evidence remain open. A separately sourced Genalti2024 finite-supremum obstruction, real-process adapter and nonempty sharp slice now extend the reviewed map; no full-paper or topic acceptance follows.

robust-estimation · reward-model

Navigation changed. This URL is retained for compatibility. Canonical classification now lives in Bandit Taxonomy; techniques live in Technique Map; theorem-level bounds live in the Bound & Source Atlas; literature-open questions live in Frontier.

Result contract to fill

A separate record is required for each exact model and guarantee. Compare bounds only when assumptions, feedback, metrics and parameter regimes match.

Exact setting and model class
Pending source verification
Assumptions
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Feedback structure
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Algorithm / method
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Regret or other metric
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Expectation / high probability
Pending source verification
Horizon, dimension and other parameter dependencies
Pending source verification
Upper bound and conditions
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Lower bound and conditions
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Computation, oracle and relaxation requirements
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Paper / theorem / version / verification date
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Canonical Lean references and completion boundary
Pending source verification

Three separate evidence ledgers

  • Literature results: Mapped source and repairs reviewed within the disclosed scope; remaining source audits are incomplete.
  • Lean mapping: Mapped results independently reviewed with explicit differences; topic acceptance remains incomplete.
  • Literature open problems: none asserted. Missing formalization is not an open mathematical problem.

Reviewed heavy-tail results in the shared library

Source confidence and actual policy, corrected expected regret, a separate clipping transfer, and a finite printed-coefficient counterexample. These mapped results do not complete the topic. Separately sourced Genalti2024 fixed-horizon supremum obstruction and actual-law adapter are additional reviewed results.

Mapped results independently reviewed with explicit scope differences; topic incomplete.

Bandits with Heavy Tail · Bubeck, Cesa-Bianchi and Lugosi · 2013

Frozen source provenance

PDF SHA-256: df94efa3708dab85063d6c7a04e0812f264c1c6f13a284017eb2efeed5077ef3

Compiled source snapshot: 597ffe493d8839fe73290c2042aa78addec99a1f. The page-wide banner separately reports this site's current Lean gate.

  • The actual source-radius4 policy has an explicitly corrected regret guarantee; the printed coefficient is refuted, not accepted.
  • Clipping transfer is an estimator adaptation on one action trace, not a corruption-robust regret theorem.
  • The finite counterexample uses a fixed permissible deterministic tie rule; no universal randomized-tie certificate is claimed.
  • Recent-source audit and all-topic ICLR evidence remain open; the reviewed mappings do not establish topic completion.
  • Reading membership is not a proof dependency; the current page banner separately reports whether Lean was rerun for this build.
  • The primary source block above covers the BCL results. Genalti2024 Eq5 is a separate positive-scale fixed-horizon obstruction, not an adaptive learning-rate theorem; source https://proceedings.mlr.press/v247/genalti24a.html, PDF SHA25665eceb2cd402baa8c7f5b60d273a103fbd181cf6803a4b7f0d2f4092742fe5b6.
RoleCanonical Lean declarationSource or instance scope
producerBanditRLProof.HeavyTail.source_truncated_mean_upper_tailBCL Lemma1: radius4; closed-event/common-mean generalizations
producerBanditRLProof.HeavyTail.source_truncated_mean_lower_tailBCL Lemma1: lower-tail sign counterpart
algorithmBanditRLProof.HeavyTail.SourcePolicy.robustActionBCL Figure1: causal history policy; explicit deterministic ties and initialization
producerBanditRLProof.HeavyTail.SourcePolicy.robustMean_upper_tail_sumSource schedule: new signed finite budget2 repair
producerBanditRLProof.HeavyTail.SourcePolicy.robustMean_lower_tail_sumSource schedule: new signed finite budget2 repair
endpointBanditRLProof.HeavyTail.SourcePolicy.robust_expected_regretExplicit corrected coefficient for unchanged policy; all natural horizons; not printed constant
endpointBanditRLProof.HeavyTail.adaptive_corrupted_clipped_mean_tailReserved clipping adaptation: same consumed prefix, outer measure; no corrupted-policy regret
endpointBanditRLProof.HeavyTail.observed_corrupted_clipped_mean_tailClipping adaptation on one observed action trace
endpointBanditRLProof.HeavyTail.SourceCounterexample.literal_printed_bound_falseFinite refutation of BCL printed coefficient; deterministic permitted ties, Dirac0/-1, T=2^50
modelBanditRLProof.HeavyTail.SourceCounterexample.kernel_raw_momentAdmissible raw second moments of finite counterexample
endpointBanditRLProof.HeavyTail.GenaltiAudit.normalized_sSup_ne_topGenalti2024 Eq5 obstruction: enlarged trace-law class, u>0, finite T
producerBanditRLProof.HeavyTail.GenaltiAudit.process_value_memGenalti2024 Eq1 adapter: actual measurable actions and actual image law
canaryBanditRLProof.HeavyTail.GenaltiAudit.normalized_sSup_two_eqGenalti2024 raw-moment class: K2epsilon1 universal cap sharp across policies

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