Training an agent to adapt to specific tasks through co-optimization of
morphology and control has widely attracted attention. However, whether there
exists an optimal configuration and tactics for agents in a multiagent
competition scenario is still an issue that is challenging to definitively
conclude. In this context, we propose competitive evolution (CompetEvo), which
co-evolves agents' designs and tactics in confrontation. We build arenas
consisting of three animals and their evolved derivatives, placing agents with
different morphologies in direct competition with each other. The results
reveal that our method enables agents to evolve a more suitable design and
strategy for fighting compared to fixed-morph agents, allowing them to obtain
advantages in combat scenarios. Moreover, we demonstrate the amazing and
impressive behaviors that emerge when confrontations are conducted under
asymmetrical morphs.

通过竞争进化 (CompetEvo)，能够使代理体在多智能体竞争场景中进化出满足战斗需求的适宜设计和策略，相较于固定形态的代理体，在战斗场景中获得优势，并展现出异形对峙时产生的惊人和印象深刻行为。