Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization

John Wang, Mengfan Xu

We study multi-objective multi-agent multi-armed bandits (MO-MA-MAB) under stochastic rewards, where agents observe heterogeneous reward vectors and communicate over time-varying g…