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reinforcement learning - Validation worse than training

In OpenAI gym classic-like env training, the model yields good results and completes the task. Validating with unseen data yields considerably lower results. Tried:

  • Added (+/- 2% random range) noise to observations to prevent the model from memorizing (both training/validation).
  • Applied same normalization (fit to training, transform to training/validation), and also no normalization.

No matter, getting same results with the above. Any idea what it could be or what I can try?

question from:https://stackoverflow.com/questions/66060521/validation-worse-than-training

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