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Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020

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I tried replicating the results provided in the [paper](https://arxiv.org/abs/1910.05396), however, I am getting much higher performance for normal PPO (something around 44.1%) while a lower performance with Rand Conv (53.34%)....

It seems that during evaluation MC approximation = 10 is used by the paper but not implemented in the codebase. Can you provide pointers on how to do and or...