Merge pull request #240 from MyoHub/dev

2.8.0 release

docs/source/tutorials.rst

@@ -234,15 +234,20 @@ Load DEP-RL Baseline
 +++++++++++++++++++++++++++++++++++++
 See `here <https://deprl.readthedocs.io/en/latest/index.html>`__ for more detailed documentation of ``deprl``.
 
+.. note::
+    Deprl requires Python `3.9` or newer.
+
 If you want to load and execute the pre-trained DEP-RL baseline. Make sure that the ``deprl`` package is installed.
 
 .. code-block:: python
 
     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()"
    ]
   },

myosuite/version.py

@@ -1 +1 @@
-__version_tuple__ = (2, 7, 0)
+__version_tuple__ = (2, 8, 0)