modified docs for newest deprl version

Author: P-Schumacher

docs/source/tutorials.rst

@@ -240,9 +240,11 @@ If you want to load and execute the pre-trained DEP-RL baseline. Make sure that
 
     from myosuite.utils import gym
     import deprl
+    from deprl import env_wrappers
 
     # we can pass arguments to the environments here
     env = gym.make('myoLegWalk-v0', reset_type='random')
+    env = env_wrappers.GymWrapper(env)
     policy = deprl.load_baseline(env)
     obs = env.reset()
     for i in range(1000):

docs/source/tutorials/4a_deprl.ipynb

@@ -30,7 +30,8 @@
    ],
    "source": [
     "from myosuite.utils import gym\n",
-    "import deprl"
+    "import deprl\n",
+    "from deprl import env_wrappers"
    ]
   },
   {
@@ -45,6 +46,7 @@
    "source": [
     "T = 1000 # length of episode\n",
     "env = gym.make('myoLegWalk-v0')\n",
+    "env = env_wrappers.GymWrapper(env)\n",
     "obs = env.reset()"
    ]
   },