Welfare and Fairness in Multi-objective Reinforcement Learning

Zimeng Fan, Nianli Peng, Muhang Tian +1

We study fair multi-objective reinforcement learning in which an agent must learn a policy that simultaneously achieves high reward on multiple dimensions of a vector-valued reward…