softqlearning/softqlearning/algorithms/sql.py
def _create_target_ops(self):
        """Create tensorflow operation for updating the target Q-function."""
        if not self._train_qf:
            return

        source_params = self.qf.get_params_internal()
        target_params = self.qf.get_params_internal(scope='target')

        self._target_ops = [
            tf.assign(tgt, src)
            for tgt, src in zip(target_params, source_params)
        ]
Create tensorflow operation for updating the target Q-function.
Create tensorflow operation for updating the target Q-function.
Create tensorflow operation for updating the target Q - function .
def _create_target_ops(self):
        if not self._train_qf:
            return
        source_params = self.qf.get_params_internal()
        target_params = self.qf.get_params_internal(scope='target')
        self._target_ops = [
            tf.assign(tgt, src)
            for tgt, src in zip(target_params, source_params)
        ]
def _create_target_ops ( self ) : if not self . _train_qf : return source_params = self . qf . get_params_internal ( ) target_params = self . qf . get_params_internal ( scope = 'target' ) self . _target_ops = [ tf . assign ( tgt , src ) for tgt , src in zip ( target_params , source_params ) ]
Create tensorflow operation for updating the target Q-function.
Create tensorflow operation for updating the target Q - function .
"""Create tensorflow operation for updating the target Q-function."""
self