BanditRLlib
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Lean module · Foundations

BanditRLProof.Algorithms.CUCBConditionalMGF

Conditional compensated MGF for the actual CUCB trajectory.

Module map

Declarations
10
Placeholders
0

Imports

BanditRLProof.Algorithms.CUCBRoundMGF, BanditRLProof.ConcentrationConditionalMGF

Imported by

BanditRLProof, BanditRLProof.Algorithms.CUCBConcentration

Declarations

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def BanditRLProof.CUCB.observedNoise Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.observedNoise

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

noncomputable def observedNoise {m : ℕ} (D : Measure UnitOutcome) (i : Fin m) (z : Feedback m) : ℝ
def BanditRLProof.CUCB.observedIndicator Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.observedIndicator

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

def observedIndicator {m : ℕ} (i : Fin m) (z : Feedback m) : ℝ
def BanditRLProof.CUCB.observedCompensated Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.observedCompensated

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

noncomputable def observedCompensated {m : ℕ} (D : Measure UnitOutcome) (i : Fin m) (tilt : ℝ) (z : Feedback m) : ℝ
theorem BanditRLProof.CUCB.measurable_observedCompensated Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.measurable_observedCompensated

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem measurable_observedCompensated {m : ℕ} (D : Measure UnitOutcome) (i : Fin m) (tilt : ℝ) : Measurable (observedCompensated D i tilt)
theorem BanditRLProof.CUCB.observedCompensated_abs_le Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.observedCompensated_abs_le

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem observedCompensated_abs_le {m : ℕ} (D : Measure UnitOutcome) [IsProbabilityMeasure D] (i : Fin m) (tilt : ℝ) (z : Feedback m) : |observedCompensated D i tilt z|≤|tilt|+tilt^2/8
theorem BanditRLProof.CUCB.integrable_exp_observedCompensated Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.integrable_exp_observedCompensated

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem integrable_exp_observedCompensated {Ω : Type*} [MeasurableSpace Ω] (ν : Measure Ω) [IsProbabilityMeasure ν] {m : ℕ} (D : Measure UnitOutcome) [IsProbabilityMeasure D] (i : Fin m) (tilt scale : ℝ) (g : Ω → Feedback m) (hg : Measurable g) : Integrable (fun ω => Real.exp (scale*observedCompensated D i tilt (g ω))) ν
theorem BanditRLProof.CUCB.exp_observedCompensated Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.exp_observedCompensated

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem exp_observedCompensated {m : ℕ} (D : Measure UnitOutcome) (i : Fin m) (tilt : ℝ) (z : Feedback m) : Real.exp (observedCompensated D i tilt z)=observedFactor D i tilt z
theorem BanditRLProof.CUCB.cucb_condExp_observedCompensated Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.cucb_condExp_observedCompensated

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem cucb_condExp_observedCompensated (n : ℕ) (tilt : ℝ) : (cucbTrajectory oracle environment)[fun Y => Real.exp (observedCompensated D i tilt (Y (n+1)).2) | MeasurableSpace.comap (Preorder.frestrictLe n) inferInstance] ≤ᵐ[cucbTrajectory oracle environment] fun _ => 1
theorem BanditRLProof.CUCB.cucb_successor_condMGF Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.cucb_successor_condMGF

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem cucb_successor_condMGF (n : ℕ) (tilt : ℝ) : Concentration.HasCondMGFUpperBoundAt (MeasurableSpace.comap (Preorder.frestrictLe n) inferInstance) (Preorder.measurable_frestrictLe n).comap_le (fun Y => observedCompensated D i tilt (Y (n+1)).2) 1 0 (cucbTrajectory oracle environment)
theorem BanditRLProof.CUCB.cucb_initial_MGF Compiled

No declaration docstring is present; use the chapter context and exact statement below.

Used in these reading views: Bandit Book

1. Finite bandits, traces, and regret

Canonical node identitydeclaration:BanditRLProof.CUCB.cucb_initial_MGF

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem cucb_initial_MGF (tilt : ℝ) : Concentration.HasMGFUpperBoundAt (fun Y : ℕ → Round A m => observedCompensated D i tilt (Y 0).2) 1 0 (cucbTrajectory oracle environment)