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One option could be to use an early stopping mechanism, e.g. stop when the average reward per episode on a validation set stops increasing. In practice, I found this to be a bad idea as you generally don't have enough data to be able to afford a validation set when using daily data (in addition to the test set). If you are dealing with higher frequency data ...


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