Competitive Agent

Competitive agents represent a burgeoning field in artificial intelligence focused on designing and training agents that interact strategically, often within teams, to achieve individual or collective goals in competitive environments. Current research emphasizes developing algorithms, such as multi-agent reinforcement learning and graph convolutional networks, that enable effective cooperation within teams and robust competition between them, often leveraging mean-field game theory for scalability. This research is significant for advancing our understanding of complex multi-agent systems and has practical implications for diverse applications, including resource management, game playing, and collaborative tasks like image editing.