Learning.measurable_indicator_stepsUntil_eq
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measurable_indicator_stepsUntil_eq🔗
Learning.measurable_indicator_stepsUntil_eqNo docstring.
Learning.measurable_indicator_stepsUntil_eq.{u_1, u_2, u_3} {𝓐 : Type u_1} {R : Type u_2} {Ω : Type u_3} {m𝓐 : MeasurableSpace 𝓐} {mR : MeasurableSpace R} {mΩ : MeasurableSpace Ω} [DecidableEq 𝓐] {A : ℕ → Ω → 𝓐} {R' : ℕ → Ω → R} [MeasurableSingletonClass 𝓐] (hA : ∀ (n : ℕ), Measurable (A n)) (hR' : ∀ (n : ℕ), Measurable (R' n)) (a : 𝓐) (m n : ℕ) : Measurable (Set.indicator {ω | stepsUntil A a m ω = ↑n} fun x => 1)Learning.measurable_indicator_stepsUntil_eq.{u_1, u_2, u_3} {𝓐 : Type u_1} {R : Type u_2} {Ω : Type u_3} {m𝓐 : MeasurableSpace 𝓐} {mR : MeasurableSpace R} {mΩ : MeasurableSpace Ω} [DecidableEq 𝓐] {A : ℕ → Ω → 𝓐} {R' : ℕ → Ω → R} [MeasurableSingletonClass 𝓐] (hA : ∀ (n : ℕ), Measurable (A n)) (hR' : ∀ (n : ℕ), Measurable (R' n)) (a : 𝓐) (m n : ℕ) : Measurable (Set.indicator {ω | stepsUntil A a m ω = ↑n} fun x => 1)
Code
lemma measurable_indicator_stepsUntil_eq [MeasurableSingletonClass 𝓐]
(hA : ∀ n, Measurable (A n)) (hR' : ∀ n, Measurable (R' n)) (a : 𝓐) (m n : ℕ) :
Measurable ({ω : Ω | stepsUntil A a m ω = ↑n}.indicator fun _ ↦ 1)Type uses (1)
Used by (1)
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Proof
by refine (measurable_comap_indicator_stepsUntil_eq hA hR' a m n).mono ?_ le_rfl refine Measurable.comap_le ?_ fun_prop
Dependency graph
Type dependencies (1)
stepsUntil🔗
Learning.stepsUntil
Number of steps until action a was pulled exactly m times.
Learning.stepsUntil.{u_1, u_3} {𝓐 : Type u_1} {Ω : Type u_3} [DecidableEq 𝓐] (A : ℕ → Ω → 𝓐) (a : 𝓐) (m : ℕ) (ω : Ω) : ℕ∞Learning.stepsUntil.{u_1, u_3} {𝓐 : Type u_1} {Ω : Type u_3} [DecidableEq 𝓐] (A : ℕ → Ω → 𝓐) (a : 𝓐) (m : ℕ) (ω : Ω) : ℕ∞
Code
noncomputable
def stepsUntil (A : ℕ → Ω → 𝓐) (a : 𝓐) (m : ℕ) (ω : Ω) : ℕ∞ :=
sInf ((↑) '' {s | pullCount A a (s + 1) ω = m})Body uses (1)
Used by (46)
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All dependencies, transitively (1)
pullCount🔗
Learning.pullCount
Number of times action a was chosen up to time t (excluding t).
Learning.pullCount.{u_1, u_3} {𝓐 : Type u_1} {Ω : Type u_3} [DecidableEq 𝓐] (A : ℕ → Ω → 𝓐) (a : 𝓐) (t : ℕ) (ω : Ω) : ℕLearning.pullCount.{u_1, u_3} {𝓐 : Type u_1} {Ω : Type u_3} [DecidableEq 𝓐] (A : ℕ → Ω → 𝓐) (a : 𝓐) (t : ℕ) (ω : Ω) : ℕ
Code
noncomputable def pullCount (A : ℕ → Ω → 𝓐) (a : 𝓐) (t : ℕ) (ω : Ω) : ℕ := #(filter (fun s ↦ A s ω = a) (range t))
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