import OAI.Combinatorics.EditApproximation.Refinement.PhysicalRationalWarmup import OAI.Combinatorics.EditApproximation.Geometry.LocalInitialCones import OAI.Combinatorics.EditApproximation.Definitions namespace OAI /-! One literal refinement update with finite selected-group cones and online action values. -/ namespace EditApproximation open Finset theorem rationalMinimum_map_mono {ι : Type*} (indices : List ι) (fallback fallback' : ℚ) (value value' : ι → ℚ) (hfallback : fallback ≤ fallback') (hvalue : ∀ i ∈ indices, value i ≤ value' i) : rationalMinimum fallback (indices.map value) ≤ rationalMinimum fallback' (indices.map value') := by induction indices with | nil => exact hfallback | cons i rest ih => exact min_le_min (hvalue i (by simp)) (ih fun j hj => hvalue j (by simp [hj])) theorem rationalBellman_mono {Parent Child : Type*} {M : ℕ} (fallback : Parent → ℚ) (distance : Parent → Parent → ℚ) (L : ℚ) (actions : List (RationalBellmanAction Parent Child M)) {child child' : Child → ℚ} (hchild : child ≤ child') (q : Parent) : rationalBellman fallback distance L actions child q ≤ rationalBellman fallback distance L actions child' q := by apply rationalMinimum_map_mono _ _ _ _ _ le_rfl intro action _ exact add_le_add le_rfl (sum_le_sum fun i _ => hchild (action.childState i)) theorem rationalBellman_le_action {Parent Child : Type*} {M : ℕ} (fallback : Parent → ℚ) (distance : Parent → Parent → ℚ) (L : ℚ) (actions : List (RationalBellmanAction Parent Child M)) (child : Child → ℚ) (q : Parent) (action : RationalBellmanAction Parent Child M) (haction : action ∈ actions) : rationalBellman fallback distance L actions child q ≤ rationalActionValue distance L child q action := rationalMinimum_le_member _ _ (List.mem_map.mpr ⟨action, haction, rfl⟩) theorem rationalOnlineMinimum_lower (lower : ℚ) (values : List ℚ) (hvalues : ∀ v ∈ values, lower ≤ v) {online : ℚ} (honline : rationalOnlineMinimum values = some online) : lower ≤ online := by cases values with | nil => cases honline | cons first rest => have heq : rationalMinimum first rest = online := Option.some.inj honline rw [← heq] exact (le_rationalMinimum_iff _ _ _).2 ⟨hvalues first (by simp), fun v hv => hvalues v (by simp [hv])⟩ def rationalWideStepCone {nx ny M : ℕ} (parent : TargetInterval nx) (representatives : List (ℕ × TargetInterval ny)) (P : ℕ) (initial : TargetInterval ny → ℚ) (L : ℚ) (old current : Fin M × TargetInterval ny → ℚ) (groups : List (RationalBellmanAction (TargetInterval ny) (Fin M × TargetInterval ny) M)) (q : TargetInterval ny) : ℚ := rationalMinimum (rationalBellman initial (fun q r => targetEndpointDistance q r) L (rationalActualWideActions parent representatives P) old q) (groups.map (rationalActionValue (fun q r => targetEndpointDistance q r) L current q)) def rationalWideStep {nx ny M : ℕ} (parent : TargetInterval nx) (representatives : List (ℕ × TargetInterval ny)) (P : ℕ) (initial : TargetInterval ny → ℚ) (L delta : ℚ) (old current : Fin M × TargetInterval ny → ℚ) (groups online : List (RationalBellmanAction (TargetInterval ny) (Fin M × TargetInterval ny) M)) (q : TargetInterval ny) : ℚ := rationalRefinementUpdate delta (rationalWideStepCone parent representatives P initial L old current groups q) (rationalOnlineMinimum (online.map (rationalActionValue (fun q r => targetEndpointDistance q r) L current q))) /-- Both lower candidates are genuine current-child wide Bellman cones. The sampled choices enter only through literal membership in the wide list. -/ theorem rationalWideStep_bellman_sandwich {nx ny M : ℕ} (parent : TargetInterval nx) (representatives : List (ℕ × TargetInterval ny)) (P : ℕ) (initial : TargetInterval ny → ℚ) (L delta : ℚ) (old current : Fin M × TargetInterval ny → ℚ) (hmono : current ≤ old) (groups online : List (RationalBellmanAction (TargetInterval ny) (Fin M × TargetInterval ny) M)) (hgroups : ∀ action ∈ groups, action ∈ rationalActualWideActions parent representatives P) (honline : ∀ action ∈ online, action ∈ rationalActualWideActions parent representatives P) (q : TargetInterval ny) : rationalBellman initial (fun q r => targetEndpointDistance q r) L (rationalActualWideActions parent representatives P) current q ≤ rationalWideStep parent representatives P initial L delta old current groups online q ∧ rationalWideStep parent representatives P initial L delta old current groups online q ≤ rationalBellman initial (fun q r => targetEndpointDistance q r) L (rationalActualWideActions parent representatives P) old q := by let actions := rationalActualWideActions (M := M) parent representatives P let distance := fun q r : TargetInterval ny => (targetEndpointDistance q r : ℚ) let lower := rationalBellman initial distance L actions current q let upper := rationalBellman initial distance L actions old q let cone := rationalWideStepCone parent representatives P initial L old current groups q have hcone : lower ≤ cone := by apply (le_rationalMinimum_iff _ _ _).2 refine ⟨rationalBellman_mono initial distance L actions hmono q, ?_⟩ intro value hvalue obtain ⟨action, ha, rfl⟩ := List.mem_map.mp hvalue exact rationalBellman_le_action initial distance L actions current q action (hgroups action ha) have hupper : cone ≤ upper := rationalMinimum_le_fallback _ _ have honlineLower : ∀ value ∈ online.map (rationalActionValue distance L current q), lower ≤ value := by intro value hvalue obtain ⟨action, ha, rfl⟩ := List.mem_map.mp hvalue exact rationalBellman_le_action initial distance L actions current q action (honline action ha) change lower ≤ rationalRefinementUpdate delta cone (rationalOnlineMinimum (online.map (rationalActionValue distance L current q))) ∧ rationalRefinementUpdate delta cone (rationalOnlineMinimum (online.map (rationalActionValue distance L current q))) ≤ upper cases hmin : rationalOnlineMinimum (online.map (rationalActionValue distance L current q)) with | none => exact ⟨hcone, hupper⟩ | some value => have hlower := rationalOnlineMinimum_lower lower _ honlineLower hmin exact ⟨le_min hcone (hlower.trans (le_max_right _ _)), (min_le_left _ _).trans hupper⟩ end EditApproximation end OAI