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Reward modification in PPO #7

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@Ynjxsjmh

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@Ynjxsjmh

https://github.com/marload/DeepRL-TensorFlow2/blob/876266d9a5fcf7d8a7c7e3afd8b110085b32b615/PPO/PPO_Discrete.py#L151-L154

https://github.com/marload/DeepRL-TensorFlow2/blob/876266d9a5fcf7d8a7c7e3afd8b110085b32b615/PPO/PPO_Continuous.py#L167-L170

In PPO_Discrete each reward is multiplied by 0.01 and in PPO_Continuous reward is also modified. I don't understand why do these modification, what does these modification do?

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