Learning.pullCount_eq_pullCount_of_action_ne
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pullCount_eq_pullCount_of_action_ne๐
Learning.pullCount_eq_pullCount_of_action_neNo docstring.
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 ฯLearning.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 ฯType uses (1)
Used by (5)
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Proof
by simp [pullCount, range_add_one, filter_insert, ha]
Dependency graph
Type dependencies (1)
pullCount๐
Learning.pullCount
Number of times action a was chosen up to time t (excluding t).
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) : โLearning.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 โฆ A s ฯ = a) (range t))
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