Off Policy Evaluation
PulseAugur coverage of Off Policy Evaluation — every cluster mentioning Off Policy Evaluation across labs, papers, and developer communities, ranked by signal.
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New OPE method accounts for strategic agent behavior
Researchers have developed a new method for off-policy evaluation (OPE) that accounts for strategic agents who modify their behavior based on the decision maker's policy. This approach addresses the challenge of policy-…
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New research advances off-policy evaluation techniques for ML
Two new research papers explore advanced techniques for off-policy evaluation (OPE) in machine learning, a critical process for assessing the performance of new policies using existing data. The first paper introduces "…
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New framework optimizes logging policies for off-policy evaluation accuracy
Researchers have developed a new framework for designing logging policies to improve the accuracy of off-policy evaluation (OPE). OPE is crucial for estimating the performance of new policies, like recommender systems, …
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New FQE and FQI methods bypass Bellman completeness for stability
Researchers have developed new methods for Fitted Q-Evaluation (FQE) and soft Fitted Q-Iteration (soft FQI) that do not require Bellman completeness, a condition often unmet with function approximation. The proposed tec…