fix(nyz): fix EDAC bugs

ding/policy/edac.py

@@ -138,6 +138,16 @@ class EDACPolicy(SACPolicy):
         ),
     )
 
+    def default_model(self) -> Tuple[str, List[str]]:
+        """
+        Overview:
+            Return this algorithm default neural network model setting for demonstration. ``__init__`` method will \
+            automatically call this method to get the default model setting and create model.
+        Returns:
+            - model_info (:obj:`Tuple[str, List[str]]`): The registered model name and model's import_names.
+        """
+        return 'edac', ['ding.model.template.edac']
+
     def _init_learn(self) -> None:
         r"""
         Overview:

ding/policy/sac.py

@@ -716,11 +716,12 @@ def _init_learn(self) -> None:
         self._twin_critic = self._cfg.model.twin_critic
 
         # Weight Init for the last output layer
-        init_w = self._cfg.learn.init_w
-        self._model.actor_head[-1].mu.weight.data.uniform_(-init_w, init_w)
-        self._model.actor_head[-1].mu.bias.data.uniform_(-init_w, init_w)
-        self._model.actor_head[-1].log_sigma_layer.weight.data.uniform_(-init_w, init_w)
-        self._model.actor_head[-1].log_sigma_layer.bias.data.uniform_(-init_w, init_w)
+        if hasattr(self._model, 'actor_head'):  # keep compatibility
+            init_w = self._cfg.learn.init_w
+            self._model.actor_head[-1].mu.weight.data.uniform_(-init_w, init_w)
+            self._model.actor_head[-1].mu.bias.data.uniform_(-init_w, init_w)
+            self._model.actor_head[-1].log_sigma_layer.weight.data.uniform_(-init_w, init_w)
+            self._model.actor_head[-1].log_sigma_layer.bias.data.uniform_(-init_w, init_w)
 
         self._optimizer_q = Adam(
             self._model.critic.parameters(),

ding/utils/data/dataset.py

@@ -117,6 +117,10 @@ def __init__(self, cfg: dict) -> None:
         self._data = []
         self._load_d4rl(dataset)
 
+    @property
+    def data(self) -> List:
+        return self._data
+
     def __len__(self) -> int:
         """
         Overview: