A branching deep Q-learning voting-agent model on real Aarau and Toulouse data finds that fairer participatory budgeting outcomes can emerge when voters coordinate on lower-cost projects.
Issues, principles or ideology? how young voters decide
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Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
A branching deep Q-learning voting-agent model on real Aarau and Toulouse data finds that fairer participatory budgeting outcomes can emerge when voters coordinate on lower-cost projects.