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vπv_\pivπ​ is the unique solution of its Bellman equation (3.14)

Proved
SuttonBartoRL.FiniteMDP.stateValue_unique_solution

by mikedeng1 · Oct 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

bellman-equationp2o-batch-b23bp2o-gran-per-chapterp2o-plan-bookp2o-v1reinforcement-learning

Let π\piπ be a stochastic policy for a finite MDP and 0≤γ<10 \le \gamma < 10≤γ<1. If a function vvv on the states satisfies, for every state sss,

v(s)=∑aπ(a∣s)∑s′,rp(s′,r∣s,a)[r+γv(s′)],v(s) = \sum_a \pi(a \mid s) \sum_{s', r} p(s', r \mid s, a)\big[r + \gamma v(s')\big],v(s)=a∑​π(a∣s)s′,r∑​p(s′,r∣s,a)[r+γv(s′)],

then v=vπv = v_\piv=vπ​, the state-value function (3.12).

Together with (3.14) this says that the value function vπv_\pivπ​ is the unique solution to its Bellman equation, so that vπv_\pivπ​ can be computed by solving a linear system (as the book does for the gridworld of Example 3.5).

Formalization Note For γ=1\gamma = 1γ=1 uniqueness needs termination of every episode, which the book does not state; the statement is for 0≤γ<10 \le \gamma < 10≤γ<1.

Preamble
import Mathlib
import Definitions.Def_SuttonBartoRL_FiniteMDP_MDP
import Definitions.Def_SuttonBartoRL_FiniteMDP_ValueFunctions
Formal statement
namespace SuttonBartoRL.FiniteMDP

/-- Sutton & Barto, 2nd ed., p. 60: "The value function `v_π` is the unique solution to its Bellman
equation." For `0 ≤ γ < 1`, every function `v : S → ℝ` satisfying (3.14),
`v(s) = Σ_a π(a|s) Σ_{s',r} p(s', r|s, a) [r + γ v(s')]` for all `s`, equals `v_π`. -/
theorem stateValue_unique_solution {S A : Type} [Fintype S] [DecidableEq S] [Fintype A]
    (M : MDP S A) (γ : ℝ) (hγ0 : 0 ≤ γ) (hγ1 : γ < 1) (π : Policy S A) (v : S → ℝ)
    (hv : ∀ s, v s = ∑ a, π.prob s a * ∑ s', ∑ r ∈ M.R, M.p s a s' r * (r + γ * v s')) :
    v = stateValue M γ π := by sorry

end SuttonBartoRL.FiniteMDP
Source
Sutton & Barto, Reinforcement Learning: An Introduction, 2nd ed., MIT Press (2018), ISBN 9780262039246, §3.5, p. 60 ("The value function v_π is the unique solution to its Bellman equation")
Human review
  • Endorsed by Shuze Chen · Oct 5, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 5, 2026

    Confirmed by the mission captain (proposal self-audit).

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