Tick version of API and pypi packages to 10 (#2610)

* Tick versions for pip packages
* Tick API version to 10

UnitySDK/Assets/ML-Agents/Scripts/Academy.cs

         [SerializeField]
         public BroadcastHub broadcastHub = new BroadcastHub();
 
-        private const string k_KApiVersion = "API-9";
+        private const string k_KApiVersion = "API-10";
 
         /// Temporary storage for global gravity value
         /// Used to restore oringal value when deriving Academy modifies it
                 customResetParameters = newResetParameters.CustomResetParameters;
             }
         }
-        
+
         /// <summary>
         /// Configures the environment settings depending on the training/inference
         /// mode and the corresponding parameters passed in the Editor.

gym-unity/setup.py

 
 setup(
     name="gym_unity",
-    version="0.4.6",
+    version="0.4.7",
     description="Unity Machine Learning Agents Gym Interface",
     license="Apache License 2.0",
     author="Unity Technologies",
-    install_requires=["gym", "mlagents_envs==0.9.3"],
+    install_requires=["gym", "mlagents_envs==0.10.0"],
 )

ml-agents-envs/mlagents/envs/environment.py

         atexit.register(self._close)
         self.port = base_port + worker_id
         self._buffer_size = 12000
-        self._version_ = "API-9"
+        self._version_ = "API-10"
         self._loaded = (
             False
         )  # If true, this means the environment was successfully loaded

ml-agents-envs/mlagents/envs/mock_communicator.py

             is_training=True,
         )
         rl_init = UnityRLInitializationOutput(
-            name="RealFakeAcademy", version="API-9", log_path="", brain_parameters=[bp]
+            name="RealFakeAcademy", version="API-10", log_path="", brain_parameters=[bp]
         )
         return UnityOutput(rl_initialization_output=rl_init)
 

ml-agents-envs/setup.py

 
 setup(
     name="mlagents_envs",
-    version="0.9.3",
+    version="0.10.0",
     description="Unity Machine Learning Agents Interface",
     url="https://github.com/Unity-Technologies/ml-agents",
     author="Unity Technologies",

ml-agents/setup.py

 
 setup(
     name="mlagents",
-    version="0.9.3",
+    version="0.10.0",
     description="Unity Machine Learning Agents",
     long_description=long_description,
     long_description_content_type="text/markdown",
         "h5py>=2.9.0",
         "jupyter",
         "matplotlib",
-        "mlagents_envs==0.9.3",
+        "mlagents_envs==0.10.0",
         "numpy>=1.13.3,<2.0",
         "Pillow>=4.2.1",
         "protobuf>=3.6",