Optimizing Play-to-Earn in the Metaverse with Mobile Edge Computing over Wireless Networks

The author proposes a Multi-Agent Loss-Sharing (MALS) reinforcement learning model to optimize downlink and uplink transmissions for play-to-earn games, showcasing superiority over baseline models.