2026
Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games
AAAI 2026technical
Understanding the emergence of collective behaviors of multi-agent systems requires investigating the learning dynamics. However, the theoretical analysis of large-scale graph-structured multi-agent reinforcement learning (MARL) systems remains challenging due to agent heterogeneity and the intrinsi