def apply_step(self, variables, deltas):
        """
        Applies the given (and already calculated) step deltas to the variable values.

        Args:
            variables: List of variables.
            deltas: List of deltas of same length.

        Returns:
            The step-applied operation. A tf.group of tf.assign_add ops.
        """
        if len(variables) != len(deltas):
            raise TensorForceError("Invalid variables and deltas lists.")
        return tf.group(
            *(tf.assign_add(ref=variable, value=delta) for variable, delta in zip(variables, deltas))
        )
def apply_step(self, variables, deltas):
        """
        Applies the given (and already calculated) step deltas to the variable values.

        Args:
            variables: List of variables.
            deltas: List of deltas of same length.

        Returns:
            The step-applied operation. A tf.group of tf.assign_add ops.
        """
        if len(variables) != len(deltas):
            raise TensorForceError("Invalid variables and deltas lists.")
        return tf.group(
            *(tf.assign_add(ref=variable, value=delta) for variable, delta in zip(variables, deltas))
        )
def apply_step ( self , variables , deltas ) : if len ( variables ) != len ( deltas ) : raise TensorForceError ( "Invalid variables and deltas lists." ) return tf . group ( * ( tf . assign_add ( ref = variable , value = delta ) for variable , delta in zip ( variables , deltas ) ) )
Applies the given (and already calculated) step deltas to the variable values.

        Args:
            variables: List of variables.
            deltas: List of deltas of same length.

        Returns:
            The step-applied operation. A tf.group of tf.assign_add ops.
Applies the given ( and already calculated ) step deltas to the variable values .