Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems

arXiv:2301.08278v3 Announce Type: replace-cross
Abstract: Solving the problem of cooperation is fundamentally important for the creation and maintenance of functional societies. Problems of cooperation are omnipresent within human society, with examples ranging from navigating busy road junctions to negotiating treaties. As the use of AI becomes more pervasive throughout society, the need for socially intelligent agents capable of navigating these complex cooperative dilemmas is becoming increasingly evident. Direct punishment is a ubiquitous social mechanism that has been shown to foster …

abstract agent arxiv cs.ai cs.lg cs.ma emergence examples functional human impact important learning systems maintenance multi-agent problem reinforcement reinforcement learning replace society systems type