2 papers
cs.LG2026
Regret Minimization with Adaptive Opponents in Repeated Games
Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu +1
In this paper, we study regret minimization in repeated games with \emph{adaptive} opponents who can respond based on histories of play. The standard metric of \emph{external regre…
cs.GT2025
The Power of Regularization in Solving Extensive-Form Games
Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu +1
In this paper, we investigate the power of {\it regularization}, a common technique in reinforcement learning and optimization, in solving extensive-form games (EFGs). We propose a…