Learning.pullCount_add_one_eq_pullCount'
This page has the declaration's own card below, then its dependency graph, then a card for each dependency (type dependencies first, then the rest of the transitive closure). For a theorem, the graph and the dependency cards only follow its statement's dependencies (its proof is replaced by sorry, so what it proves doesn't depend on how); for everything else, both the type and the body/value are followed, since their content is part of what later declarations build on.
pullCount_add_one_eq_pullCount'๐
Learning.pullCount_add_one_eq_pullCount'No docstring.
Learning.pullCount_add_one_eq_pullCount'.{u_1, u_2, u_3} {๐ : Type u_1} {R : Type u_2} {ฮฉ : Type u_3} [DecidableEq ๐] {A : โ โ ฮฉ โ ๐} {R' : โ โ ฮฉ โ R} {a : ๐} {n : โ} {ฯ : ฮฉ} : pullCount A a (n + 1) ฯ = pullCount' n (fun i => (A (โi) ฯ, R' (โi) ฯ)) aLearning.pullCount_add_one_eq_pullCount'.{u_1, u_2, u_3} {๐ : Type u_1} {R : Type u_2} {ฮฉ : Type u_3} [DecidableEq ๐] {A : โ โ ฮฉ โ ๐} {R' : โ โ ฮฉ โ R} {a : ๐} {n : โ} {ฯ : ฮฉ} : pullCount A a (n + 1) ฯ = pullCount' n (fun i => (A (โi) ฯ, R' (โi) ฯ)) a
Code
lemma pullCount_add_one_eq_pullCount' {n : โ} {ฯ : ฮฉ} :
pullCount A a (n + 1) ฯ = pullCount' n (fun i โฆ (A i ฯ, R' i ฯ)) aType uses (2)
Body uses (2)
Used by (5)
Actions: Source ยท Open Issue
Proof
by rw [pullCount_eq_sum, pullCount'_eq_sum] rw [Finset.sum_coe_sort (f := fun s โฆ if A s ฯ = a then 1 else 0) (Iic n)] congr with m simp only [mem_range, mem_Iic] grind
Dependency graph
Type dependencies (2)
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))
Actions: Source ยท Open Issue
pullCount'๐
Learning.pullCount'
Number of pulls of arm a up to (and including) time n.
This is the number of entries in h in which the arm is a.
Learning.pullCount'.{u_1, u_2} {๐ : Type u_1} {R : Type u_2} [DecidableEq ๐] (n : โ) (h : โฅ(Finset.Iic n) โ ๐ ร R) (a : ๐) : โLearning.pullCount'.{u_1, u_2} {๐ : Type u_1} {R : Type u_2} [DecidableEq ๐] (n : โ) (h : โฅ(Finset.Iic n) โ ๐ ร R) (a : ๐) : โ
Code
noncomputable
def pullCount' (n : โ) (h : Iic n โ ๐ ร R) (a : ๐) := #{s | (h s).1 = a}Used by (29)
Actions: Source ยท Open Issue