Reinforcement Learning, Gaming, Deep Learning.
https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm def __init__(self, epsilon=1e-4, shape=()): self.mean = torch.zeros(shape, dtype=torch.float32).to(device) self.var = torch.ones(shape, dtype=torch.float32).to(device) self.count = epsilon def update(self, x):