A Verification Theorem for Stackelberg Stochastic Differential Games in Feedback Information Pattern
Qi Huang. Jingtao Shi

TL;DR
This paper establishes a verification theorem for feedback Stackelberg stochastic differential games using PDEs and applies it to linear quadratic cases with Riccati equations, providing analytical and numerical solutions.
Contribution
It introduces a verification theorem for feedback Stackelberg equilibria in stochastic differential games using PDEs and Riccati equations.
Findings
Verification theorem based on PDEs for feedback Stackelberg equilibrium
Analytical solutions for Riccati equations in special cases
Numerical solutions for Riccati equations in linear quadratic games
Abstract
This paper is concerned with a Stackelberg stochastic differential game on a finite horizon in feedback information pattern. A system of parabolic partial differential equations is obtained at the level of Hamiltonian to give the verification theorem of the feedback Stackelberg equilibrium. As an example, a linear quadratic Stackelberg stochastic differential game is investigated. Riccati equations are introduced to express the feedback Stackelberg equilibrium, analytical and numerical solutions to these Riccati equations are discussed in some special cases.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Stochastic processes and financial applications · Stability and Controllability of Differential Equations
