<ul><li>Policy Learning with Competing Agents</li><li>Decision makers often aim to learn a treatment assignment policy under a capacity constraint on the number of agents that they can treat.</li><li>This paper studies capacity-constrained treatment assignment in the presence of strategic interference.</li><li>The authors present a consistent estimator for policy gradient, allowing for learning capacity-constrained policies in the presence of strategic behavior.</li></ul>

Policy Learning with Competing Agents

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