2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
ICML 2021spotlight
We consider the problem of learning fair policies in (deep) cooperative multi-agent reinforcement learning (MARL). We formalize it in a principled way as the problem of optimizing a welfare function that explicitly encodes two important aspects of fairness: efficiency and equity. We provide a theore…