Koster et al introduce a deep reinforcement learning (RL) mechanism designed to manage common-pool resources successfully encourages sustainable cooperation among human participants by dynamically adjusting resource allocations based on the current state of the resource pool. The RL-derived policy outperforms traditional allocation methods by balancing generosity when resources are abundant and applying temporary sanctions to discourage free-riding, ultimately maximizing social welfare and fairness.
- Raphael Koster
- Miruna Pîslar
- Christopher Summerfield
