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#off-policy-evaluation News & Analysis

2 articles tagged with #off-policy-evaluation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 86/10
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Off-Policy Evaluation with Strategic Agents via Local Disclosure

Researchers propose a novel off-policy evaluation method that addresses strategic behavior by agents who modify their characteristics in response to policies. By leveraging post-hoc explanations to reveal pre-strategic information, the approach mitigates covariate shifts and enables more accurate policy assessment in one-shot settings with incomplete knowledge of agent responses.

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AINeutralarXiv – CS AI · May 296/10
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Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities

Researchers introduce Quotient DAGs, a novel framework for off-policy evaluation that addresses variance issues in importance sampling by recognizing when generation process details are irrelevant to evaluation targets. The method computes exact unordered slate propensities efficiently through Forward-DP, a dynamic programming approach that avoids factorial enumeration, enabling practical evaluation for autoregressive slate recommendation systems.