A maximal Gittins index attains the largest joint continuation value
ProvedMDPFinance.InfiniteHorizonApplications.joint_index_action_dominatesbanditsgittins-indexmarkov-decision-process
Consider two independent Beta-Bernoulli arms with posterior states and discount factor . Let and be the bounded single-arm and joint stopping values with retirement payment , and let be the single-arm Gittins index. Write for arm 's posterior success probability and for the corresponding one-step transition operator.
Suppose arm has a maximal index, allowing either arm when the indices tie. For every payment and either arm ,
This is the continuation-action comparison in Proposition 7.6.9(c). It isolates the index-based selection of an arm from regularity of the stopping value and the characterization of its retirement region, so those parts can be proved separately.
Preamble
import Definitions.Def_MDPFinance_InfiniteHorizonApplications_Bandit open MDPFinance.InfiniteHorizonApplications
Formal statement
theorem MDPFinance.InfiniteHorizonApplications.joint_index_action_dominates
{β : ℝ} (KS : KStoppingValue β pMN) (JKS : JointKStoppingValue β)
(x : BanditState2) (astar : Fin 2)
(h0 : astar = 0 → GittinsIndex KS x.2 ≤ GittinsIndex KS x.1)
(h1 : astar = 1 → GittinsIndex KS x.1 ≤ GittinsIndex KS x.2)
(K : ℝ) (hK : K < max (GittinsIndex KS x.1) (GittinsIndex KS x.2)) (a : Fin 2) :
paBandit a x + β * QaBandit a (JKS.Jt K) x ≤
paBandit astar x + β * QaBandit astar (JKS.Jt K) x := by sorry
Source
Bäuerle and Rieder, Markov Decision Processes with Applications to Finance, Springer 2011, DOI 10.1007/978-3-642-18324-9, p. 233, Proposition 7.6.9(c), continuation-action comparison. https://link.springer.com/chapter/10.1007/978-3-642-18324-9_7