BanditRLlib
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Lean module · UCB

BanditRLProof.Algorithms.UCBFixedCountPeeling

This module isolates the law transport used by the pinned LML UCB proof. A FixedArmPrefixSource records the pathwise fact that rewards selected from one arm are the prefix of an arm-indexed reward stream. The main theorems peel the random pull count into finitely many fixed counts and transport every fixed prefix event through an IdentDistrib stream law.

Module map

Declarations
8
Placeholders
0

Imports

BanditRLProof.Algorithms.UCBRealHistoryIndex, BanditRLProof.ProbabilityUnionBound

Imported by

BanditRLProof, BanditRLProof.Algorithms.UCBArmStreamSource

Declarations

Open an item to read its exact compact statement and source link. Detailed teaching notes are linked when registered.

abbrev BanditRLProof.UCB.ArmRewardStream Compiled

A table containing one infinite reward stream for every finite arm.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.ArmRewardStream

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

abbrev ArmRewardStream (K : Nat)
def BanditRLProof.UCB.armPrefixSum Compiled

Sum of the first `k` rewards in one arm's stream.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.armPrefixSum

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

def armPrefixSum {K : Nat} (arm : Fin K) (k : Nat) (stream : ArmRewardStream K) : Real
theorem BanditRLProof.UCB.measurable_armPrefixSum Compiled

A fixed-arm prefix sum is measurable on the full stream space.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.measurable_armPrefixSum

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem measurable_armPrefixSum {K : Nat} (arm : Fin K) (k : Nat) : Measurable (armPrefixSum arm k)
structure BanditRLProof.UCB.FixedArmPrefixSource Compiled

Pathwise source contract behind fixed-count peeling. For each sample point, arm, and horizon, the selected reward sum must be the prefix sum of that arm's latent stream at the realized pull count.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.FixedArmPrefixSource

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

structure FixedArmPrefixSource {Omega : Type u} {K : Nat} [MeasurableSpace Omega] (action : Omega -> ActionTrace (Fin K)) (reward : Omega -> RewardTrace Real) where
theorem BanditRLProof.UCB.FixedArmPrefixSource.measurable_armStream Compiled

The complete latent arm stream supplied by a source is measurable.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.FixedArmPrefixSource.measurable_armStream

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem FixedArmPrefixSource.measurable_armStream {Omega : Type u} {K : Nat} [MeasurableSpace Omega] {action : Omega -> ActionTrace (Fin K)} {reward : Omega -> RewardTrace Real} (source : FixedArmPrefixSource action reward) : Measurable source.armStream
theorem BanditRLProof.UCB.FixedArmPrefixSource.measurable_armPrefixSum Compiled

Every fixed prefix sum read from a source is measurable.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.FixedArmPrefixSource.measurable_armPrefixSum

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem FixedArmPrefixSource.measurable_armPrefixSum {Omega : Type u} {K : Nat} [MeasurableSpace Omega] {action : Omega -> ActionTrace (Fin K)} {reward : Omega -> RewardTrace Real} (source : FixedArmPrefixSource action reward) (arm : Fin K) (k : Nat) : Measurable (fun omega => UCB.armPrefixSum arm k (source.armStream omega))
theorem BanditRLProof.UCB.measure_pullCount_prod_sumRewards_mem_le_of_fixedArmPrefixSource Compiled

Pathwise fixed-count peeling. The adaptive `(pullCount, sumRewards)` event is covered by the finite union of fixed-prefix events for counts at most `n`. This is an outer-measure bound, so the event set itself need not be measurable.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.measure_pullCount_prod_sumRewards_mem_le_of_fixedArmPrefixSource

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem measure_pullCount_prod_sumRewards_mem_le_of_fixedArmPrefixSource {Omega : Type u} {K : Nat} [MeasurableSpace Omega] (mu : Measure Omega) (action : Omega -> ActionTrace (Fin K)) (reward : Omega -> RewardTrace Real) (source : FixedArmPrefixSource action reward) (arm : Fin K) (n : Nat) (s : Set (Nat × Real)) [DecidablePred (fun k : Nat => k ∈ Prod.fst '' s)] : mu {omega | (pullCount (action omega) arm n, sumRewards (action omega) (reward omega) arm n) ∈ s} ≤ ((Finset.range (n + 1)).filter (fun k => k ∈ Prod.fst '' s)).sum (fun k => mu {omega | UCB.armPrefixSum arm k (source.armStream omega) ∈ Prod.mk k ⁻¹' s})
theorem BanditRLProof.UCB.measure_pullCount_prod_sumRewards_mem_le_of_fixedArmPrefixSource_identDistrib Compiled

Fixed-count peeling with law transport to a canonical arm-reward stream. One `IdentDistrib` hypothesis for the complete latent stream supplies every fixed-prefix law by measurable composition. This is the local counterpart of the law-transport step in LML `prob_pullCount_prod_sumRewards_mem_le`.

Used in these reading views: Bandit Book · Reinforcement Learning Book

4. UCB: confidence events to regret

Canonical node identitydeclaration:BanditRLProof.UCB.measure_pullCount_prod_sumRewards_mem_le_of_fixedArmPrefixSource_identDistrib

Reading membership is not a proof dependency. Exact assumptions remain in the Lean statement.

theorem measure_pullCount_prod_sumRewards_mem_le_of_fixedArmPrefixSource_identDistrib {Omega : Type u} {Xi : Type v} {K : Nat} [MeasurableSpace Omega] [MeasurableSpace Xi] (mu : Measure Omega) (nu : Measure Xi) (action : Omega -> ActionTrace (Fin K)) (reward : Omega -> RewardTrace Real) (source : FixedArmPrefixSource action reward) (canonicalStream : Xi -> ArmRewardStream K) (hstreamLaw : IdentDistrib source.armStream canonicalStream mu nu) (arm : Fin K) (n : Nat) (s : Set (Nat × Real)) [DecidablePred (fun k : Nat => k ∈ Prod.fst '' s)] (hs : MeasurableSet s) : mu {omega | (pullCount (action omega) arm n, sumRewards (action omega) (reward omega) arm n) ∈ s} ≤ ((Finset.range (n + 1)).filter (fun k => k ∈ Prod.fst '' s)).sum (fun k => nu {xi | UCB.armPrefixSum arm k (canonicalStream xi) ∈ Prod.mk k ⁻¹' s})