Learning.RoundRobin.action_ae_eq
The action chosen at time n is the action n % K.
Learning.RoundRobin.action_ae_eq.{u_1, u_2} {๐จ : Type u_1} {m๐จ : MeasurableSpace ๐จ} {K : โ} {hK : 0 < K} {ฮฝ : ProbabilityTheory.Kernel (Fin K) ๐จ} [ProbabilityTheory.IsMarkovKernel ฮฝ] {ฮฉ : Type u_2} {mฮฉ : MeasurableSpace ฮฉ} {P : MeasureTheory.Measure ฮฉ} [MeasureTheory.IsProbabilityMeasure P] {A : โ โ ฮฉ โ Fin K} {Y : โ โ ฮฉ โ ๐จ} (n : โ) (h : IsAlgEnvSeqUntil A Y (roundRobinAlgorithm hK) (stationaryEnv ฮฝ) P n) : A n =แต[P] fun x => โจn % K, โฏโฉLearning.RoundRobin.action_ae_eq.{u_1, u_2} {๐จ : Type u_1} {m๐จ : MeasurableSpace ๐จ} {K : โ} {hK : 0 < K} {ฮฝ : ProbabilityTheory.Kernel (Fin K) ๐จ} [ProbabilityTheory.IsMarkovKernel ฮฝ] {ฮฉ : Type u_2} {mฮฉ : MeasurableSpace ฮฉ} {P : MeasureTheory.Measure ฮฉ} [MeasureTheory.IsProbabilityMeasure P] {A : โ โ ฮฉ โ Fin K} {Y : โ โ ฮฉ โ ๐จ} (n : โ) (h : IsAlgEnvSeqUntil A Y (roundRobinAlgorithm hK) (stationaryEnv ฮฝ) P n) : A n =แต[P] fun x => โจn % K, โฏโฉ
Code
lemma action_ae_eq (n : โ)
(h : IsAlgEnvSeqUntil A Y (roundRobinAlgorithm hK) (stationaryEnv ฮฝ) P n) :
A n =แต[P] fun _ โฆ โจn % K, Nat.mod_lt _ hKโฉProof
by
cases n with
| zero => exact action_zero h
| succ n =>
filter_upwards [action_ae_eq_roundRobinNextAction n h] with h hn_eq
rw [hn_eq, nextAction]Actions: Source ยท Open Issue
Meaning last changed in v4.34.0-rc2-1-g439785b (2026-08-23), the 4th recorded change.
Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file ยท open it in the Lean web editor.
Dependency graph
Audit surface: 9 project declarations, 57 external constants
โ Proved: no sorry anywhere in its closure
This is the tool's own reading of one build's recorded axioms, and it is not robust against an author who wants it to pass. Checking meant to be relied on should go through Comparator, which replays the proof through the kernel from an export against an explicit list of permitted axioms.