LeanMachineLearning exposition

Learning.pullCount_eq_pullCount_of_action_ne๐Ÿ”—

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Minimal Lean file

pullCount_eq_pullCount_of_action_ne๐Ÿ”—

LemmaLearning.pullCount_eq_pullCount_of_action_ne

No docstring.

๐Ÿ”—theorem
Learning.pullCount_eq_pullCount_of_action_ne.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] {A : โ„• โ†’ ฮฉ โ†’ ๐“} {a : ๐“} {t : โ„•} {ฯ‰ : ฮฉ} (ha : A t ฯ‰ โ‰  a) : pullCount A a (t + 1) ฯ‰ = pullCount A a t ฯ‰
Learning.pullCount_eq_pullCount_of_action_ne.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] {A : โ„• โ†’ ฮฉ โ†’ ๐“} {a : ๐“} {t : โ„•} {ฯ‰ : ฮฉ} (ha : A t ฯ‰ โ‰  a) : pullCount A a (t + 1) ฯ‰ = pullCount A a t ฯ‰

Code

lemma pullCount_eq_pullCount_of_action_ne (ha : A t ฯ‰ โ‰  a) :
    pullCount A a (t + 1) ฯ‰ = pullCount A a t ฯ‰
Type uses (1)
Used by (5)

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Proof
by
  simp [pullCount, range_add_one, filter_insert, ha]

Dependency graph

Type dependencies (1)

pullCount๐Ÿ”—

DefinitionLearning.pullCount

Number of times action a was chosen up to time t (excluding t).

๐Ÿ”—def
Learning.pullCount.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] (A : โ„• โ†’ ฮฉ โ†’ ๐“) (a : ๐“) (t : โ„•) (ฯ‰ : ฮฉ) : โ„•
Learning.pullCount.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] (A : โ„• โ†’ ฮฉ โ†’ ๐“) (a : ๐“) (t : โ„•) (ฯ‰ : ฮฉ) : โ„•

Code

noncomputable
def pullCount (A : โ„• โ†’ ฮฉ โ†’ ๐“) (a : ๐“) (t : โ„•) (ฯ‰ : ฮฉ) : โ„• :=
  #(filter (fun s โ†ฆ A s ฯ‰ = a) (range t))
Used by (146)

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