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papersTODAY 04:00 UTC

arXiv paper models altruism and cost levels in mixed-individual mean field games

A new arXiv preprint proposes an inverse learning approach to infer altruism and cost parameters when a population contains both altruistic and selfish individuals. The method works within continuous-time stochastic mean field game models used to study large interacting populations. The authors frame the work around how people respond to incentives, which matters for designing effective policies.

arXivai-policyaltruisminverse-learningmean-field gamesmulti-agent-systems

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