added the option for a deterministic run

envs/dmc.py

@@ -5,14 +5,18 @@ import numpy as np
 class DeepMindControl:
     metadata = {}
 
-    def __init__(self, name, action_repeat=1, size=(64, 64), camera=None):
+    def __init__(self, name, action_repeat=1, size=(64, 64), camera=None, seed=0):
         domain, task = name.split("_", 1)
         if domain == "cup":  # Only domain with multiple words.
             domain = "ball_in_cup"
         if isinstance(domain, str):
             from dm_control import suite
 
-            self._env = suite.load(domain, task)
+            self._env = suite.load(
+                domain,
+                task,
+                task_kwargs={"random": seed},
+            )
         else:
             assert task is None
             self._env = domain()