Renamed MLAgentsSDK to UnitySDK. (#1170)

.gitignore

-/MLAgentsSDK/[Ll]ibrary/
-/MLAgentsSDK/[Tt]emp/
-/MLAgentsSDK/[Oo]bj/
-/MLAgentsSDK/[Bb]uild/
-/MLAgentsSDK/[Bb]uilds/
-/MLAgentsSDK/[Pp]ackages/
-/MLAgentsSDK/[Uu]nity[Pp]ackage[Mm]anager/
-/MLAgentsSDK/Assets/AssetStoreTools*
-/MLAgentsSDK/Assets/Plugins*
-/MLAgentsSDK/Assets/Gizmos*
+/UnitySDK/[Ll]ibrary/
+/UnitySDK/[Tt]emp/
+/UnitySDK/[Oo]bj/
+/UnitySDK/[Bb]uild/
+/UnitySDK/[Bb]uilds/
+/UnitySDK/[Pp]ackages/
+/UnitySDK/[Uu]nity[Pp]ackage[Mm]anager/
+/UnitySDK/Assets/AssetStoreTools*
+/UnitySDK/Assets/Plugins*
+/UnitySDK/Assets/Gizmos*
 
 # Tensorflow Model Info
 /models
-*MLAgentsSDK.log
+*UnitySDK.log
-/MLAgentsSDK/.vs/
+/UnitySDK/.vs/
-/MLAgentsSDKExportedObj/
-/MLAgentsSDK.consulo/
+/UnitySDKExportedObj/
+/UnitySDK.consulo/
 *.csproj
 *.unityproj
 *.sln
 *.pidb.meta
 
 # Unity3D Generated File On Crash Reports
-/MLAgentsSDK/sysinfo.txt
+/UnitySDK/sysinfo.txt
 
 # Builds
 *.apk
 *.x86
 
 # Tensorflow Sharp Files
-/MLAgentsSDK/Assets/ML-Agents/Plugins/Android*
-/MLAgentsSDK/Assets/ML-Agents/Plugins/iOS*
-/MLAgentsSDK/Assets/ML-Agents/Plugins/Computer*
-/MLAgentsSDK/Assets/ML-Agents/Plugins/System*
+/UnitySDK/Assets/ML-Agents/Plugins/Android*
+/UnitySDK/Assets/ML-Agents/Plugins/iOS*
+/UnitySDK/Assets/ML-Agents/Plugins/Computer*
+/UnitySDK/Assets/ML-Agents/Plugins/System*
 
 # Generated doc folders
 /docs/html

docs/Basic-Guide.md

 
 1. Launch Unity
 2. On the Projects dialog, choose the **Open** option at the top of the window.
-3. Using the file dialog that opens, locate the `MLAgentsSDK` folder
+3. Using the file dialog that opens, locate the `UnitySDK` folder
    within the the ML-Agents toolkit project and click **Open**.
 4. Go to **Edit** > **Project Settings** > **Player**
 5. For **each** of the platforms you target (**PC, Mac and Linux Standalone**,
 **Plugins** > **Computer**.
 
 **Note**: If you don't see anything under **Assets**, drag the
-`MLAgentsSDK/Assets/ML-Agents` folder under **Assets** within Project window.
+`UnitySDK/Assets/ML-Agents` folder under **Assets** within Project window.
 
 ![Imported TensorFlowsharp](images/imported-tensorflowsharp.png)
 
 [above](#play-an-example-environment-using-pretrained-model).
 
 1. Move your model file into
-   `MLAgentsSDK/Assets/ML-Agents/Examples/3DBall/TFModels/`.
+   `UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/`.
 2. Open the Unity Editor, and select the **3DBall** scene as described above.
 3. Select the **Ball3DBrain** object from the Scene hierarchy.
 4. Change the **Type of Brain** to **Internal**.

docs/Installation.md

 
     git clone https://github.com/Unity-Technologies/ml-agents.git
 
-The `MLAgentsSDK` directory in this repository contains the Unity Assets to add
+The `UnitySDK` directory in this repository contains the Unity Assets to add
 to your projects. The `python` directory contains python packages which provide
 trainers, a python API to interface with Unity, and a package to interface with
 OpenAI Gym.

docs/Learning-Environment-Create-New.md

 1. Launch the Unity Editor and create a new project named "RollerBall".
 2. In a file system window, navigate to the folder containing your cloned
    ML-Agents repository.
-3. Drag the `ML-Agents` folder from `MLAgentsSDK/Assets` to the Unity Editor
+3. Drag the `ML-Agents` folder from `UnitySDK/Assets` to the Unity Editor
    Project window.
 
 Your Unity **Project** window should contain the following assets:

docs/Learning-Environment-Examples.md

 
 The Unity ML-Agents toolkit contains an expanding set of example environments
 which demonstrate various features of the platform. Environments are located in
-`MLAgentsSDK/Assets/ML-Agents/Examples` and summarized below. Additionally, our
+`UnitySDK/Assets/ML-Agents/Examples` and summarized below. Additionally, our
 [first ML Challenge](https://connect.unity.com/challenges/ml-agents-1) contains
 environments created by the community.
 

docs/Learning-Environment-Executable.md

 
 1. Launch Unity.
 2. On the Projects dialog, choose the **Open** option at the top of the window.
-3. Using the file dialog that opens, locate the `MLAgentsSDK` folder within the
+3. Using the file dialog that opens, locate the `UnitySDK` folder within the
    ML-Agents project and click **Open**.
 4. In the **Project** window, navigate to the folder
    `Assets/ML-Agents/Examples/3DBall/`.
 your internal brain by following the steps below:
 
 1. Move your model file into
-   `MLAgentsSDK/Assets/ML-Agents/Examples/3DBall/TFModels/`.
+   `UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/`.
 2. Open the Unity Editor, and select the **3DBall** scene as described above.
 3. Select the **Ball3DBrain** object from the Scene hierarchy.
 4. Change the **Type of Brain** to **Internal**.

docs/Migrating.md

 
 ### Important
 
-* The Unity project `unity-environment` has been renamed `MLAgentsSDK`.
+* The Unity project `unity-environment` has been renamed `UnitySDK`.
 * The `python` folder has been renamed to `ml-agents`. It now contains two
   packages, `mlagents.env` and `mlagents.trainers`. `mlagents.env` can be used
   to interact directly with a Unity environment, while `mlagents.trainers`

docs/Training-Curriculum-Learning.md

 
 Once our curriculum is defined, we have to use the reset parameters we defined
 and modify the environment from the agent's `AgentReset()` function. See
-[WallJumpAgent.cs](https://github.com/Unity-Technologies/ml-agents/blob/master/MLAgentsSDK/Assets/ML-Agents/Examples/WallJump/Scripts/WallJumpAgent.cs)
+[WallJumpAgent.cs](https://github.com/Unity-Technologies/ml-agents/blob/master/UnitySDK/Assets/ML-Agents/Examples/WallJump/Scripts/WallJumpAgent.cs)
 for an example. Note that if the Academy's __Max Steps__ is not set to some
 positive number the environment will never be reset. The Academy must reset
 for the environment to reset.

docs/dox-ml-agents.conf

 # spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
 # Note: If this tag is empty the current directory is searched.
 
-INPUT                  = ../MLAgentsSDK/Assets/ML-Agents/Scripts/Academy.cs \
-                         ../MLAgentsSDK/Assets/ML-Agents/Scripts/Agent.cs \
-                         ../MLAgentsSDK/Assets/ML-Agents/Scripts/Monitor.cs \
-                         ../MLAgentsSDK/Assets/ML-Agents/Scripts/Decision.cs
+INPUT                  = ../UnitySDK/Assets/ML-Agents/Scripts/Academy.cs \
+                         ../UnitySDK/Assets/ML-Agents/Scripts/Agent.cs \
+                         ../UnitySDK/Assets/ML-Agents/Scripts/Monitor.cs \
+                         ../UnitySDK/Assets/ML-Agents/Scripts/Decision.cs
 
 # This tag can be used to specify the character encoding of the source files
 # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses

ml-agents/mlagents/envs/exception.py

                         "You can check the logfile for more information at {}".format(log_file_path))
             except:
                 logger.error("An error might have occured in the environment. "
-               "No MLAgentsSDK.log file could be found.") 
+               "No UnitySDK.log file could be found.") 
         super(UnityTimeOutException, self).__init__(message)
 

protobuf-definitions/make.bat

 # COMPILER=[DIRECTORY]
 
 SRC_DIR=proto/mlagents/envs/communicator_objects
-DST_DIR_C=../MLAgentsSDK/Assets/ML-Agents/Scripts/CommunicatorObjects
+DST_DIR_C=../UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects
 DST_DIR_P=../ml-agents
 PROTO_PATH=proto
 

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

                 var pythonParameters = brainBatcher.SendAcademyParameters(academyParameters);
                 Random.InitState(pythonParameters.Seed);
                 Application.logMessageReceived += HandleLog;
-                logPath = Path.GetFullPath(".") + "/MLAgentsSDK.log";
+                logPath = Path.GetFullPath(".") + "/UnitySDK.log";
                 logWriter = new StreamWriter(logPath, false);
                 logWriter.WriteLine(System.DateTime.Now.ToString());
                 logWriter.WriteLine(" ");