From geometry to strategy: Symmetry breaking in cooperative multiagent active dynamics
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We investigate the emergence of cooperative and competitive behaviors in multiagent reinforcement learning systems, where autonomous agents, modeled as active particles, learn to capture targets dynamically regenerated in geometrically distinct arenas. Using p... ...