Reinforcement-learning-based replicator-mutator dynamics for game-environment coevolution in public goods games.

Abstract excerpt

The reciprocal feedback between individual strategies and environmental states has received widespread attention in mathematical biology and ecology. However, existing game-environment feedback models typically focus on myopic payoff-driven adaptation, overlooking how individuals adjust their behavior based on long-term learning outcomes. In this paper, we derive a learning-induced mutation term from...

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