(self, idx=None)
return np.asarray([self._samples[i].get(NOISE) for i in idx])
Returns N x T x dU numpy array of noise generated during rollouts.
Returns N x T x dU numpy array of noise generated during rollouts.
Returns N x T x dU numpy array of noise generated during rollouts .
def get_noise(self, idx=None):
        """ Returns N x T x dU numpy array of noise generated during rollouts. """
        if idx is None:
            idx = range(len(self._samples))
        return np.asarray([self._samples[i].get(NOISE) for i in idx])
def get_noise ( self , idx = None ) : if idx is None : idx = range ( len ( self . _samples ) ) return np . asarray ( [ self . _samples [ i ] . get ( NOISE ) for i in idx ] )