in gala/envs.py [0:0]
def _obfilt(self, obs, update=True):
if self.ob_rms:
if self.training and update:
self.ob_rms.update(obs)
obs = np.clip((obs - self.ob_rms.mean) /
np.sqrt(self.ob_rms.var + self.epsilon),
-self.clipob, self.clipob)
return obs
else:
return obs