Apr 24, 2024 · We propose a new framework called Long-term Off-Policy Evaluation (LOPE), which is based on reward function decomposition.
May 13, 2024 · We propose a new framework called Long-term Off-Policy Evaluation (LOPE), which is based on reward function decomposition.
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Sep 3, 2024 · We developed a new statistical framework called LOPE to enable a more accurate and efficient off-policy evaluation for long-term rewards by leveraging short- ...
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Apr 30, 2024 · This paper studied the problem of estimating and optimizing the long-term value of an algorithm without running a long-term online experiment.
This work thus studies the problem of feasibly yet accurately estimating the long-term outcome of an algorithm using only historical and short-term experiment ...
Mar 15, 2024 · "Long-term Off-Policy Evaluation and Learning Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas"
Long-term Off-Policy Evaluation and Learning · Short- and long-term outcomes of an algorithm often differ, with damaging downstream effects. A known example ...
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The study aimed to find out the science process skills and its implementation in the process of science learning evaluation in the schools.
The evaluation of a given target policy using data collected from a different policy (i.e., the behavior policy) is called off-policy evaluation. This has been ...
We offer an experimental benchmark and empirical study for off-policy policy evaluation (OPE) in reinforcement learning, which is a key problem in many ...