3 papers
cs.AI2026
Explanation Multiplicity: Circuit-Level Interpretability Evidence Does Not Survive Defensible Analytic Variation
Ajay Pravin Mahale
The EU AI Act requires providers of high-risk systems to file technical documentation describing how the system reaches its decisions. Mechanistic interpretability is the obvious s…
math.OC2026
Forward-Backward Dynamic Programming for LQG Dynamic Games with Partial and Asymmetric Information
Yuxiang Guan, Iman Shames, Tyler Summers
We formulate and study a class of two-player zero-sum stochastic dynamic games with partial and asymmetric information. Information asymmetry introduces fundamental challenges invo…
eess.SY2025
Best Response Convergence for Zero-sum Stochastic Dynamic Games with Partial and Asymmetric Information
Yuxiang Guan, Iman Shames, Tyler H. Summers
We analyze best response dynamics for finding a Nash equilibrium of an infinite horizon zero-sum stochastic linear quadratic dynamic game (LQDG) with partial and asymmetric informa…