Coupling exploration rates to local reputation differences and using asymmetric reputation updates in Q-learning promotes the evolution of cooperation in multi-agent evolutionary games.
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Reinforcement learning with reputation-based adaptive exploration promotes the evolution of cooperation
Coupling exploration rates to local reputation differences and using asymmetric reputation updates in Q-learning promotes the evolution of cooperation in multi-agent evolutionary games.