Formalizes support-exclusion in constrained pricing and introduces target-aware controller with certified bands and regret-information accounting that identifies when polynomial target mass succeeds but 1/t branches fail without extra movement.
arXiv preprint arXiv:2411.06329 , year=
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Derives optimal logging policies for minimizing off-policy evaluation error under known, unknown, and partially known target policies and reward distributions.
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Resource-Constrained Adaptive Inference for Sequential Pricing
Formalizes support-exclusion in constrained pricing and introduces target-aware controller with certified bands and regret-information accounting that identifies when polynomial target mass succeeds but 1/t branches fail without extra movement.
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Logging Policy Design for Off-Policy Evaluation
Derives optimal logging policies for minimizing off-policy evaluation error under known, unknown, and partially known target policies and reward distributions.