LeanMachineLearning exposition

Bandits.gap_bestArm🔗

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Minimal Lean file

gap_bestArm🔗

LemmaBandits.gap_bestArm

No docstring.

🔗theorem
Bandits.gap_bestArm.{u_1} {𝓐 : Type u_1} {m𝓐 : MeasurableSpace 𝓐} {ν : ProbabilityTheory.Kernel 𝓐 } [Fintype 𝓐] [Nonempty 𝓐] : gap ν (bestArm ν) = 0
Bandits.gap_bestArm.{u_1} {𝓐 : Type u_1} {m𝓐 : MeasurableSpace 𝓐} {ν : ProbabilityTheory.Kernel 𝓐 } [Fintype 𝓐] [Nonempty 𝓐] : gap ν (bestArm ν) = 0

Code

lemma gap_bestArm : gap ν (bestArm ν) = 0
Type uses (2)
Body uses (1)
Used by (1)

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Proof
by
  rw [gap_eq_bestArm_sub, sub_self]

Dependency graph

Type dependencies (2)

gap🔗

DefinitionBandits.gap

Gap of an action a: difference between the highest mean of the actions and the mean of a.

🔗def
Bandits.gap.{u_1} {𝓐 : Type u_1} {m𝓐 : MeasurableSpace 𝓐} (ν : ProbabilityTheory.Kernel 𝓐 ) (a : 𝓐) :
Bandits.gap.{u_1} {𝓐 : Type u_1} {m𝓐 : MeasurableSpace 𝓐} (ν : ProbabilityTheory.Kernel 𝓐 ) (a : 𝓐) :

Code

noncomputable
def gap (ν : Kernel 𝓐 ℝ) (a : 𝓐) : ℝ := (⨆ i, (ν i)[id]) - (ν a)[id]
Used by (27)

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bestArm🔗

DefinitionBandits.bestArm

action with the highest mean.

🔗def
Bandits.bestArm.{u_1} {𝓐 : Type u_1} {m𝓐 : MeasurableSpace 𝓐} [Fintype 𝓐] [Nonempty 𝓐] (ν : ProbabilityTheory.Kernel 𝓐 ) : 𝓐
Bandits.bestArm.{u_1} {𝓐 : Type u_1} {m𝓐 : MeasurableSpace 𝓐} [Fintype 𝓐] [Nonempty 𝓐] (ν : ProbabilityTheory.Kernel 𝓐 ) : 𝓐

Code

noncomputable def bestArm (ν : Kernel 𝓐 ℝ) : 𝓐 :=
  (exists_max_image univ (fun a ↦ (ν a)[id]) (univ_nonempty_iff.mpr inferInstance)).choose
Used by (18)

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