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Conditions for PBP Optimality to be Global

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Theorem
StochasticControl

Lemma 2.4.1

Let L:Rm1×⋯×RmN→RL:\mathbb{R}^{m_{1}}\times\dots \times \mathbb{R}^{m_{N}}\to \mathbb{R} be a convex (deterministic) loss function, with pbp optimal solution u∘:=(u1∘,…,uN∘)\mathbf{u}^{\circ}:=(u^{1\circ},\dots,u^{N\circ}). If LL is continuously differentiable at u∘\mathbf{u}^{\circ}, then u∘\mathbf{u}^{\circ} is globally (team) optimal.

Intuition

So all we need is our loss function to be differentiable at our pbp solution for it to also be team optimal.

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