def reset(self):
    self._sample_parameter()
    self.state = self.np_random.uniform(low=(- 0.05), high=0.05, size=(4,))
    self.steps_beyond_done = None
    self.steps_in_episode = 0
    return np.array(self.state)
def reset(self):
    self._sample_parameter()
    self.state = self.np_random.uniform(low=(- 0.05), high=0.05, size=(4,))
    self.steps_beyond_done = None
    self.steps_in_episode = 0
    return np.array(self.state)