Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation
arXiv:2605.03125v1 Announce Type: new
Abstract: Multi-agent reinforcement learning (MARL) holds great potential but faces robustness challenges due to environmental uncertainty. To address this, distributionally robust Markov games (RMGs) optimize wor…