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Can't reproduce test results with FinRL after restarting Jupyter Notebook Kernel #1264
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stability in RL is an important issue, which is not well solved now. |
Yeah, that's something I already came across 😢 |
I have tried this multiple times and I have not faced issues with the reproducibility of the test set. Why does seed matter for the testing set ? It matters only for model training I think. Please let me know if I am wrong |
Hi everyone!
Ive been doing some research for my masters thesis on reinforcement learning using FinRL.
I'm mainly using the Copy_of_FinRL_Ensemble_StockTrading_ICAIF_2020.ipynb file and tweaking the parameters slightly.
Unfortunately, I'm having issues getting reproducible results. I already set Seeds and my results are reproducible until I restart the Jupyter Notebook Kernel. From there, everything is completely mixed up again.
I looked this issue up on the web and came accross Hashseeds. I tried different methods implementing them but none of it changed the outcome. At this point I think the issue must be somewhere else, but I have no idea what to look out for anymore.
Thanks in advance for your help!
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