import numpy as np


class GaussianActionNoise(object):

    def __init__(self, mu, sigma=0.1):
        self.mu = mu
        self.sigma = sigma

    def __call__(self):
        return np.random.normal(self.mu, self.sigma)

09e48d78789f1b7bed972c323f67fd96fb067f5f
<mask token>


class GaussianActionNoise(object):
    <mask token>
    <mask token>

<mask token>


class GaussianActionNoise(object):
    <mask token>

    def __call__(self):
        return np.random.normal(self.mu, self.sigma)

<mask token>


class GaussianActionNoise(object):

    def __init__(self, mu, sigma=0.1):
        self.mu = mu
        self.sigma = sigma

    def __call__(self):
        return np.random.normal(self.mu, self.sigma)

import numpy as np


class GaussianActionNoise(object):

    def __init__(self, mu, sigma=0.1):
        self.mu = mu
        self.sigma = sigma

    def __call__(self):
        return np.random.normal(self.mu, self.sigma)
