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- W2289079211 abstract "We consider a reinforcement learning setting where the learner is given a set of possible models containing the true model. While there are algorithms that are able to successfully learn optimal behavior in this setting, they do so without trying to identify the underlying true model. Indeed, we show that there are cases in which the attempt to find the true model is doomed to failure." @default.
- W2289079211 created "2016-06-24" @default.
- W2289079211 creator A5031149136 @default.
- W2289079211 date "2016-02-03" @default.
- W2289079211 modified "2023-10-03" @default.
- W2289079211 title "Optimal Behavior is Easier to Learn than the Truth" @default.
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- W2289079211 doi "https://doi.org/10.1007/s11023-016-9389-y" @default.
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