Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning

Published in AAAI-20, 2019

In this paper, we investigate how partner selection can promote cooperative behavior between agents who are trained to maximize a purely selfish objective function. Our experiments reveal that agents trained with this dynamic learn a strategy that retaliates against defectors while promoting cooperation with other agents resulting in a prosocial society.

Authors: Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi

Link to arxiv