LeanMachineLearning exposition

Learning.stepsUntil_ne_top๐Ÿ”—

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Minimal Lean file

stepsUntil_ne_top๐Ÿ”—

LemmaLearning.stepsUntil_ne_top

No docstring.

๐Ÿ”—theorem
Learning.stepsUntil_ne_top.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] {A : โ„• โ†’ ฮฉ โ†’ ๐“} {a : ๐“} {m : โ„•} {ฯ‰ : ฮฉ} (h_exists : โˆƒ s, pullCount A a (s + 1) ฯ‰ = m) : stepsUntil A a m ฯ‰ โ‰  โŠค
Learning.stepsUntil_ne_top.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] {A : โ„• โ†’ ฮฉ โ†’ ๐“} {a : ๐“} {m : โ„•} {ฯ‰ : ฮฉ} (h_exists : โˆƒ s, pullCount A a (s + 1) ฯ‰ = m) : stepsUntil A a m ฯ‰ โ‰  โŠค

Code

lemma stepsUntil_ne_top (h_exists : โˆƒ s, pullCount A a (s + 1) ฯ‰ = m) : stepsUntil A a m ฯ‰ โ‰  โŠค
Type uses (2)
Body uses (1)
Used by (1)

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Proof
by
  simpa [stepsUntil_eq_top_iff]

Dependency graph

Type dependencies (2)

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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stepsUntil๐Ÿ”—

DefinitionLearning.stepsUntil

Number of steps until action a was pulled exactly m times.

๐Ÿ”—def
Learning.stepsUntil.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] (A : โ„• โ†’ ฮฉ โ†’ ๐“) (a : ๐“) (m : โ„•) (ฯ‰ : ฮฉ) : โ„•โˆž
Learning.stepsUntil.{u_1, u_3} {๐“ : Type u_1} {ฮฉ : Type u_3} [DecidableEq ๐“] (A : โ„• โ†’ ฮฉ โ†’ ๐“) (a : ๐“) (m : โ„•) (ฯ‰ : ฮฉ) : โ„•โˆž

Code

noncomputable
def stepsUntil (A : โ„• โ†’ ฮฉ โ†’ ๐“) (a : ๐“) (m : โ„•) (ฯ‰ : ฮฉ) : โ„•โˆž :=
  sInf ((โ†‘) '' {s | pullCount A a (s + 1) ฯ‰ = m})
Body uses (1)
Used by (46)

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