Ranked non-increasing descent in a Pareto-cell cover
ProvedBanditAlgorithm.partial_monitoring_pareto_cover_ranked_descentbanditsconvex-geometrygraph-theorypartial-monitoring
For every finite partial-monitoring game, one can select a nonempty collection of duplicate-free Pareto representatives whose cells cover the outcome simplex, so every finite outcome sequence has a hindsight-optimal action in . For each mixed outcome , there are a root and a natural-number rank such that every non-root has a neighbouring successor whose -expected loss does not increase and whose rank strictly decreases.
The rank records an acyclic orientation of the non-increasing in-tree. Unlike the strict-interior argument, this formulation remains correct when lies on cell boundaries and several actions tie.
Preamble
import Definitions.Def_PartialMonitoringGame open scoped BigOperators
Formal statement
theorem BanditAlgorithm.partial_monitoring_pareto_cover_ranked_descent
{k d : ℕ} {𝕊 : Type*}
(G : PartialMonitoringGame k d 𝕊) (hk : 2 ≤ k) (hd : 0 < d) :
∃ S : Finset (Fin k),
S.Nonempty ∧
(∀ (n : ℕ) (i : Fin n → Fin d), ∃ b ∈ S, ∀ a : Fin k,
∑ t, G.L b (i t) ≤ ∑ t, G.L a (i t)) ∧
∀ lam : Fin d → ℝ, lam ∈ stdSimplex ℝ (Fin d) →
∃ root ∈ S, ∃ rank : Fin k → ℕ,
∀ b ∈ S, b ≠ root →
∃ c ∈ S, NeighbouringActions G b c ∧
∑ i : Fin d, G.L c i * lam i ≤
∑ i : Fin d, G.L b i * lam i ∧
rank c < rank b := by
sorrySource
Tor Lattimore and Csaba Szepesvári, Bandit Algorithms, Cambridge University Press (2020), Lemma 37.7 p. 484, Exercise 37.10 p. 509, and Lemma 37.21 pp. 501–502, especially the finite-subsequence boundary argument. https://tor-lattimore.com/downloads/book/book.pdf