diff --git a/convlab/deploy/README.md b/convlab/deploy/README.md
index c02f097cbbac8c6258bea3fa4c7dacc147d91e75..d445429b38bacd729ff99f373db188ba21b92079 100755
--- a/convlab/deploy/README.md
+++ b/convlab/deploy/README.md
@@ -59,22 +59,17 @@
    ```json
    "nlu":
    {
-     "svm-cam": {
-      "class_path": "convlab.nlu.svm.camrest.nlu.SVMNLU",
-      "data_set": "camrest",
-      "ini_params": {"mode": "usr"},
-      "model_name": "svm-cam",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "svm-mul": {
-      "class_path": "convlab.nlu.svm.multiwoz.nlu.SVMNLU",
+     "t5nlu-mul": {
+      "class_path": "convlab.base_models.t5.nlu.T5NLU",
       "data_set": "multiwoz",
-      "ini_params": {"mode": "usr"},
-      "model_name": "svm-mul",
+      "ini_params": {
+        "speaker": "user",
+        "context_window_size": 0,
+        "model_name_or_path": "ConvLab/t5-small-nlu-multiwoz21"
+      },
+      "model_name": "t5nlu-mul",
       "max_core": 1,
-      "preload": false,
+      "preload": true,
       "enable": true
     }
    }
diff --git a/convlab/deploy/dep_config.json b/convlab/deploy/dep_config.json
index b9cb0b676c872da16606c551fd4696aa446693d3..a6fb20b913ec1732a3f53a1ac34d6971901b73ee 100755
--- a/convlab/deploy/dep_config.json
+++ b/convlab/deploy/dep_config.json
@@ -5,185 +5,62 @@
     "session_time_out": 300
   },
   "nlu": {
-    "svm-cam": {
-      "class_path": "convlab.nlu.svm.camrest.nlu.SVMNLU",
-      "data_set": "camrest",
-      "ini_params": {
-        "mode": "usr"
-      },
-      "model_name": "svm-cam",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "svm-mul": {
-      "class_path": "convlab.nlu.svm.multiwoz.nlu.SVMNLU",
-      "data_set": "multiwoz",
-      "ini_params": {
-        "mode": "usr"
-      },
-      "model_name": "svm-mul",
-      "max_core": 1,
-      "preload": false,
-      "enable": true
-    },
-    "bert-cro": {
-      "class_path": "convlab.nlu.jointBERT.crosswoz.nlu.BERTNLU",
-      "data_set": "crosswoz",
-      "ini_params": {
-        "mode": "all",
-        "config_file": "crosswoz_all.json",
-        "model_file": "https://huggingface.co/ConvLab/ConvLab-2_models/resolve/main/bert_crosswoz_all.zip"
-      },
-      "model_name": "bert-cro",
-      "max_core": 1,
-      "preload": false,
-      "enable": true
-    },
-    "bert-mul": {
-      "class_path": "convlab.nlu.jointBERT.multiwoz.nlu.BERTNLU",
+    "t5nlu-mul": {
+      "class_path": "convlab.base_models.t5.nlu.T5NLU",
       "data_set": "multiwoz",
       "ini_params": {
-        "mode": "all",
-        "config_file": "multiwoz_all.json",
-        "model_file": "https://huggingface.co/ConvLab/ConvLab-2_models/resolve/main/bert_multiwoz_all.zip"
+        "speaker": "user",
+        "context_window_size": 0,
+        "model_name_or_path": "ConvLab/t5-small-nlu-multiwoz21"
       },
-      "model_name": "bert-mul",
+      "model_name": "t5nlu-mul",
       "max_core": 1,
-      "preload": false,
+      "preload": true,
       "enable": true
     }
   },
   "dst": {
-    "rule-cam": {
-      "class_path": "convlab.dst.rule.camrest.dst.RuleDST",
-      "data_set": "camrest",
-      "ini_params": {},
-      "model_name": "rule-cam",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "rule-mul": {
-      "class_path": "convlab.dst.rule.multiwoz.dst.RuleDST",
+    "t5dst-mul": {
+      "class_path": "convlab.base_models.t5.dst.T5DST",
       "data_set": "multiwoz",
-      "ini_params": {},
-      "model_name": "rule-mul",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "rule-cro": {
-      "class_path": "convlab.dst.rule.crosswoz.dst.RuleDST",
-      "data_set": "crosswoz",
-      "ini_params": {},
-      "model_name": "rule-cro",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "trade-mul": {
-      "class_path": "convlab.dst.trade.multiwoz.trade.MultiWOZTRADE",
-      "data_set": "multiwoz",
-      "ini_params": {},
-      "model_name": "trade-mul",
+      "ini_params": {
+        "dataset_name": "multiwoz21",
+        "speaker": "user",
+        "context_window_size": 100,
+        "model_name_or_path": "ConvLab/t5-small-dst-multiwoz21"
+      },
+      "model_name": "t5dst-mul",
       "max_core": 1,
       "preload": true,
       "enable": true
     }
   },
   "policy": {
-    "mle-cam": {
-      "class_path": "convlab.policy.mle.camrest.mle.MLE",
-      "data_set": "camrest",
-      "ini_params": {},
-      "model_name": "mle-cam",
-      "max_core": 1,
-      "preload": false,
-      "enable": true
-    },
-    "mle-mul": {
-      "class_path": "convlab.policy.mle.multiwoz.mle.MLE",
-      "data_set": "multiwoz",
-      "ini_params": {},
-      "model_name": "mle-mul",
-      "max_core": 1,
-      "preload": false,
-      "enable": true
-    },
-    "rule-cam": {
-      "class_path": "convlab.policy.rule.camrest.rule_based_camrest_bot.RuleBasedCamrestBot",
-      "data_set": "camrest",
-      "ini_params": {},
-      "model_name": "rule-cam",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "rule-mul": {
-      "class_path": "convlab.policy.rule.multiwoz.rule_based_multiwoz_bot.RuleBasedMultiwozBot",
+    "ddpt-mul": {
+      "class_path": "convlab.policy.vtrace_DPT.VTRACE",
       "data_set": "multiwoz",
-      "ini_params": {},
-      "model_name": "rule-mul",
+      "ini_params": {
+        "is_train": false,
+        "seed": 0,
+        "load_path": "supervised", 
+        "dataset_name": "multiwoz21"
+      },
+      "model_name": "ddpt-mul",
       "max_core": 1,
       "preload": true,
       "enable": true
-    },
-    "mle-cro": {
-      "class_path": "convlab.policy.mle.crosswoz.mle.MLE",
-      "data_set": "crosswoz",
-      "ini_params": {},
-      "model_name": "mle-cro",
-      "max_core": 1,
-      "preload": false,
-      "enable": true
     }
   },
   "nlg": {
-    "tmp-manual-cam": {
-      "class_path": "convlab.nlg.template.camrest.nlg.TemplateNLG",
-      "data_set": "camrest",
-      "ini_params": {
-        "is_user": false
-      },
-      "model_name": "tmp-manual-cam",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "tmp-auto_manual-cam": {
-      "class_path": "convlab.nlg.template.camrest.nlg.TemplateNLG",
-      "data_set": "camrest",
-      "ini_params": {
-        "is_user": false,
-        "mode": "auto_manual"
-      },
-      "model_name": "tmp-auto_manual-cam",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-    },
-    "tmp-auto_manual-mul": {
-      "class_path": "convlab.nlg.template.multiwoz.nlg.TemplateNLG",
+    "t5nlg-mul": {
+      "class_path": "convlab.base_models.t5.nlg.T5NLG",
       "data_set": "multiwoz",
       "ini_params": {
-        "is_user": false,
-        "mode": "auto_manual"
-      },
-      "model_name": "tmp-auto_manual-mul",
-      "max_core": 1,
-      "preload": true,
-      "enable": true
-
-    },
-    "tmp-auto_manual-cro": {
-      "class_path": "convlab.nlg.template.crosswoz.nlg.TemplateNLG",
-      "data_set": "crosswoz",
-      "ini_params": {
-        "is_user": false,
-        "mode": "auto_manual"
+        "speaker": "system",
+        "context_window_size": 0,
+        "model_name_or_path": "ConvLab/t5-small-nlg-multiwoz21"
       },
-      "model_name": "tmp-auto_manual-cro",
+      "model_name": "t5nlg-mul",
       "max_core": 1,
       "preload": true,
       "enable": true
diff --git a/convlab/policy/vtrace_DPT/vtrace.py b/convlab/policy/vtrace_DPT/vtrace.py
index 2918f4dfb019cef3cfe9e0d3981b70c9502700c8..5b031c4c297d075d3de66b1f776101a3d8a2e614 100644
--- a/convlab/policy/vtrace_DPT/vtrace.py
+++ b/convlab/policy/vtrace_DPT/vtrace.py
@@ -8,6 +8,7 @@ import torch.nn as nn
 import urllib.request
 
 from torch import optim
+from convlab.policy.vector.vector_nodes import VectorNodes
 from convlab.policy.vtrace_DPT.transformer_model.EncoderDecoder import EncoderDecoder
 from convlab.policy.vtrace_DPT.transformer_model.EncoderCritic import EncoderCritic
 from ... import Policy
@@ -21,7 +22,7 @@ DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 class VTRACE(nn.Module, Policy):
 
-    def __init__(self, is_train=True, seed=0, vectorizer=None, load_path=""):
+    def __init__(self, is_train=True, seed=0, vectorizer=None, load_path="", **kwargs):
 
         super(VTRACE, self).__init__()
 
@@ -59,6 +60,13 @@ class VTRACE(nn.Module, Policy):
 
         self.last_action = None
 
+        if vectorizer is None:
+            vectorizer = VectorNodes(dataset_name=kwargs['dataset_name'],
+                         use_masking=kwargs.get('use_masking', True),
+                         manually_add_entity_names=kwargs.get('manually_add_entity_names', True),
+                         seed=seed,
+                         filter_state=kwargs.get('filter_state', True))
+
         self.vector = vectorizer
         self.cfg['dataset_name'] = self.vector.dataset_name
         self.policy = EncoderDecoder(**self.cfg, action_dict=self.vector.act2vec).to(device=DEVICE)
@@ -104,7 +112,6 @@ class VTRACE(nn.Module, Policy):
         Returns:
             action : System act, with the form of (act_type, {slot_name_1: value_1, slot_name_2, value_2, ...})
         """
-
         if not self.is_train:
             for param in self.policy.parameters():
                 param.requires_grad = False