diff --git a/framework/interactor.py b/framework/interactor.py
index d82c331..c291c17 100644
--- a/framework/interactor.py
+++ b/framework/interactor.py
@@ -48,8 +48,8 @@ def _sample_data(self,*args, **kwargs):
             self.ep_step += 1
             if terminated or truncated or self.ep_step >= self.cfg.max_step:
                 run_episode += 1
-                tracker.pub_msg(Msg(MsgType.DATASERVER_INCREASE_EPISODE))
-                global_episode = tracker.pub_msg(Msg(MsgType.DATASERVER_GET_EPISODE))
+                tracker.pub_msg(Msg(MsgType.TRACKER_INCREASE_EPISODE))
+                global_episode = tracker.pub_msg(Msg(MsgType.TRACKER_GET_EPISODE))
                 if global_episode % self.cfg.interact_summary_fre == 0 and global_episode <= self.cfg.max_episode: 
                     logger.info(f"Interactor {self.id} finished episode {global_episode} with reward {self.ep_reward:.3f} in {self.ep_step} steps")
                     interact_summary = {'reward':self.ep_reward,'step':self.ep_step}
diff --git a/framework/learner.py b/framework/learner.py
index 1161d3a..1488888 100644
--- a/framework/learner.py
+++ b/framework/learner.py
@@ -62,9 +62,9 @@ def run(self, *args, **kwargs):
         training_data = collector.pub_msg(Msg(type = MsgType.COLLECTOR_GET_TRAINING_DATA)) # get training data
         if training_data is None: return
         tracker = kwargs['tracker']
-        curr_update_step = tracker.pub_msg(Msg(type = MsgType.DATASERVER_GET_UPDATE_STEP))
+        curr_update_step = tracker.pub_msg(Msg(type = MsgType.TRACKER_GET_UPDATE_STEP))
         self.policy.learn(**training_data,update_step = curr_update_step)
-        tracker.pub_msg(Msg(type = MsgType.DATASERVER_INCREASE_UPDATE_STEP))
+        tracker.pub_msg(Msg(type = MsgType.TRACKER_INCREASE_UPDATE_STEP))
         # put updated model params to model_mgr
         model_params = self.policy.get_model_params()
         model_mgr.pub_msg(Msg(type = MsgType.MODEL_MGR_PUT_MODEL_PARAMS, data = (curr_update_step, model_params)))
diff --git a/framework/message.py b/framework/message.py
index 3561fc5..d6e8d36 100644
--- a/framework/message.py
+++ b/framework/message.py
@@ -5,11 +5,11 @@
 @unique
 class MsgType(Enum):
     # tracker
-    DATASERVER_GET_EPISODE = 0
-    DATASERVER_INCREASE_EPISODE = 1
-    DATASERVER_INCREASE_UPDATE_STEP = 2
-    DATASERVER_GET_UPDATE_STEP = 3
-    DATASERVER_CHECK_TASK_END = 4
+    TRACKER_GET_EPISODE = 0
+    TRACKER_INCREASE_EPISODE = 1
+    TRACKER_INCREASE_UPDATE_STEP = 2
+    TRACKER_GET_UPDATE_STEP = 3
+    TRACKER_CHECK_TASK_END = 4
 
     # interactor
     INTERACTOR_SAMPLE = 10
diff --git a/framework/model_mgr.py b/framework/model_mgr.py
index 36b3d76..a2ba0b7 100644
--- a/framework/model_mgr.py
+++ b/framework/model_mgr.py
@@ -58,7 +58,7 @@ def _save_policy(self):
             while not self._saved_policy_queue.empty():
                 update_step, model_params = self._saved_policy_queue.get()
                 torch.save(model_params, f"{self.cfg.model_dir}/{update_step}")
-            global_episode = self.tracker.pub_msg(Msg(type = MsgType.DATASERVER_GET_EPISODE))
+            global_episode = self.tracker.pub_msg(Msg(type = MsgType.TRACKER_GET_EPISODE))
             if global_episode >= self.cfg.max_episode:
                 break
             time.sleep(0.1)
diff --git a/framework/tracker.py b/framework/tracker.py
index 063b365..df95948 100644
--- a/framework/tracker.py
+++ b/framework/tracker.py
@@ -20,24 +20,24 @@ def __init__(self,cfg) -> None:
 
     def pub_msg(self, msg: Msg):
         msg_type, msg_data = msg.type, msg.data
-        if msg_type == MsgType.DATASERVER_GET_EPISODE:
+        if msg_type == MsgType.TRACKER_GET_EPISODE:
             return self._get_episode()
-        elif msg_type == MsgType.DATASERVER_INCREASE_EPISODE:
+        elif msg_type == MsgType.TRACKER_INCREASE_EPISODE:
             episode_delta = 1 if msg_data is None else msg_data
             self._increase_episode(i = episode_delta)
         # elif msg_type == MsgType.GET_SAMPLE_COUNT:
         #     self._get_sample_count(msg_data)
-        elif msg_type == MsgType.DATASERVER_GET_UPDATE_STEP:
+        elif msg_type == MsgType.TRACKER_GET_UPDATE_STEP:
             return self._get_update_step()
         # elif msg_type == MsgType.CHECK_TASK_END:
         #     self._check_task_end(msg_data)
         # elif msg_type == MsgType.INCREASE_SAMPLE_COUNT:
         #     self._increase_sample_count(msg_data)
-        elif msg_type == MsgType.DATASERVER_INCREASE_UPDATE_STEP:
+        elif msg_type == MsgType.TRACKER_INCREASE_UPDATE_STEP:
             update_step_delta = 1 if msg_data is None else msg_data
             self._increase_update_step(i = update_step_delta)
             
-        elif msg_type == MsgType.DATASERVER_CHECK_TASK_END:
+        elif msg_type == MsgType.TRACKER_CHECK_TASK_END:
             return self._check_task_end()
         else:
             raise NotImplementedError
diff --git a/framework/trainer.py b/framework/trainer.py
index f2e97a6..abde145 100644
--- a/framework/trainer.py
+++ b/framework/trainer.py
@@ -50,7 +50,7 @@ def run(self):
                     collector = self.collector,
                     recorder = self.recorder
                 )
-            if self.tracker.pub_msg(Msg(type = MsgType.DATASERVER_CHECK_TASK_END)):
+            if self.tracker.pub_msg(Msg(type = MsgType.TRACKER_CHECK_TASK_END)):
                 break    
         e_t = time.time() # end time
         self.logger.info(f"Finish {self.cfg.mode}ing! Time cost: {e_t - s_t:.3f} s") # print info      
diff --git a/framework/worker_mgr.py b/framework/worker_mgr.py
new file mode 100644
index 0000000..e69de29
diff --git a/requirements.txt b/requirements.txt
index 6dc8690..39cc524 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -12,5 +12,5 @@ pygame==2.1.2
 glfw==2.5.5
 imageio==2.22.4
 tensorboard==2.11.2
-ray==2.3.0
+ray==2.6.3
 gymnasium==0.28.1
\ No newline at end of file