Bandits.ArrayModel.isAlgEnvSeq_arrayMeasure🔗

Bandits.ArrayModel.isAlgEnvSeq_arrayMeasure.{u_1, u_2} {𝓐 : Type u_1}
  {R : Type u_2} {m𝓐 : MeasurableSpace 𝓐} {mR : MeasurableSpace R}
  [Nonempty 𝓐] [StandardBorelSpace 𝓐] [DecidableEq 𝓐] [Countable 𝓐]
  [StandardBorelSpace R] [Nonempty R] (alg : Learning.Algorithm 𝓐 R)
  (ν : ProbabilityTheory.Kernel 𝓐 R)
  [ProbabilityTheory.IsMarkovKernel ν] :
  Learning.IsAlgEnvSeq (action alg) (reward alg) alg
    (Learning.stationaryEnv ν) (arrayMeasure ν)
Bandits.ArrayModel.isAlgEnvSeq_arrayMeasure.{u_1,
    u_2}
  {𝓐 : Type u_1} {R : Type u_2}
  {m𝓐 : MeasurableSpace 𝓐}
  {mR : MeasurableSpace R} [Nonempty 𝓐]
  [StandardBorelSpace 𝓐] [DecidableEq 𝓐]
  [Countable 𝓐] [StandardBorelSpace R]
  [Nonempty R]
  (alg : Learning.Algorithm 𝓐 R)
  (ν : ProbabilityTheory.Kernel 𝓐 R)
  [ProbabilityTheory.IsMarkovKernel ν] :
  Learning.IsAlgEnvSeq (action alg)
    (reward alg) alg
    (Learning.stationaryEnv ν)
    (arrayMeasure ν)

lemma isAlgEnvSeq_arrayMeasure (alg : Algorithm 𝓐 R) (ν : Kernel 𝓐 R) [IsMarkovKernel ν] :
    IsAlgEnvSeq (action alg) (reward alg) alg (stationaryEnv ν) (arrayMeasure ν) where
  hasLaw_action_zero

hasLaw_action_zero alg ν
  hasCondDistrib_feedback_zero := hasCondDistrib_reward_zero alg ν
  hasCondDistrib_action := hasCondDistrib_action alg ν
  hasCondDistrib_feedback := hasCondDistrib_reward alg ν

Meaning last changed in v4.34.0-rc2-1-g439785b (2026-08-23), the 5th recorded change.

Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file · open it in the Lean web editor.

Dependency graph

Audit surface: 20 project declarations, 111 external constants

✓ 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.