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RainBow, Tensorflow

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It seems that your noisy-net code only add the noise when buding the net while the noise should be resampled and reset in every training step according to the research...

are there some blogs with code details excepting of those papers?

https://github.com/cmusjtuliuyuan/RainBow/blob/252f7ef80823b0d52b2992e05b38c9cbd7aed72b/replayMemory.py#L70 When a new experience is going to be added in the PER memory it should be registered with the maximum priority hence the the maximum error. Why the maximum...