How is knowledge produced in policy evaluation?
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Knowledge is produced in policy evaluation through various methods. One approach is to learn a single value function that can evaluate and improve multiple policies represented by deep neural networks . This method extracts crucial abstract knowledge about the environment by learning a small set of probing states and a mapping from actions produced in those states to the policy's return . Another method involves adaptively weighting observations to control the variance of estimators used in policy evaluation . This improved estimator allows for more accurate evaluation and inference of treatment assignment policies . Additionally, knowledge can be gained by quantitatively assessing the effects of policies and utilizing the knowledge of learned and experienced individuals .
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