2 papers
cs.GT2026
Algorithmic Asymmetry in Zero-Sum Games: Unilateral Recovery of Fast Convergence Against a Slow Opponent
James P. Bailey, Soham Das
Learning dynamics in zero-sum games are typically analyzed under algorithmic symmetry: both agents use the same update rule, or methods from a common algorithmic family. This is at…
math.OC2025
The Lagrangian Method for Solving Constrained Markov Games
Soham Das, Santiago Paternain, Luiz F. O. Chamon +1
We propose the concept of a Lagrangian game to solve constrained Markov games. Such games model scenarios where agents face cost constraints in addition to their individual rewards…