Provably Efficient Algorithms for Multi-Objective Competitive RL

Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra

Abstract: We study multi-objective reinforcement learning (RL) where an agent’s reward is represented as a vector. In settings where an agent competes against opponents, its performance is measured by the di...