Comments (2)
Hi @nazaretl, Thanks for the interest in our work!
- Yeah, the theory is actually drived in on the tabular setting. It should work on tabular data ;)
- Not sure yet, in general this idea is agnostic to the dataset. However, on some setting, it might be very hard to recover from the failure cases especially the noise rate is large (see noise variance tradeoff in the paper). Moreover, in our analysis, the noise should be discrete which might not be the exact setting in the real world. While we have seen some effectiveness in continuous noise, it is not guaranteed to work to any data.
- In our experiments, we add the noise to the observed reward for every episode. If you want to take a look at those state-action pairs, maybe you can change in this function to record them.
Please let me know if you have any other questions ;)
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many thanks for the response!
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