A learner-free swarm reaches the explore-exploit equilibrium: A self-organized attractor approximating the reinforcement-learning solution.

arXiv:2610.25113v3 Announce Type: replace-cross Abstract: The explore-exploit trade-off is the core problem of reinforcement learning (RL). In its multi-agent, resource-sharing form the optimum is not a scalar-return maximum but an equilibrium allocation -- th