Moving UnitySDK README to correct location, fixing file permissions. (#1175)

.gitignore

+/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
+/summaries
+
+# Environemnt logfile
+*UnitySDK.log
+
+# Visual Studio 2015 cache directory
+/UnitySDK/.vs/
+
+# Autogenerated VS/MD/Consulo solution and project files
+/UnitySDKExportedObj/
+/UnitySDK.consulo/
+*.csproj
+*.unityproj
+*.sln
+*.suo
+*.tmp
+*.user
+*.userprefs
+*.pidb
+*.booproj
+*.svd
+*.pdb
+
+# Unity3D generated meta files
+*.pidb.meta
+
+# Unity3D Generated File On Crash Reports
+/UnitySDK/sysinfo.txt
+
+# Builds
+*.apk
+*.unitypackage
+*.app
+*.exe
+*.x86_64
+*.x86
+
+# Tensorflow Sharp Files
+/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
+
+# Mac hidden files
+*.DS_Store
+*/.ipynb_checkpoints
+*/.idea
+*.pyc
+*.idea/misc.xml
+*.idea/modules.xml
+*.iml
+*.xml
+*.cache
+*/build/
+*/dist/
+*.egg-info*
+*.eggs*
+*.gitignore.swp
+
+# VSCode hidden files
+*.vscode/
+
+.DS_Store
+.ipynb_checkpoints
+
+# pytest cache 
+*.pytest_cache/
+
+# Ignore compiled protobuf files.
+ml-agents-protobuf/cs
+ml-agents-protobuf/python
+ml-agents-protobuf/Grpc*
+
+# Ignore PyPi build files.
+dist/
+build/

LICENSE

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README.md

+<img src="docs/images/unity-wide.png" align="middle" width="3000"/>
+
+<img src="docs/images/image-banner.png" align="middle" width="3000"/>
+
+# Unity ML-Agents Toolkit (Beta)
+
+**The Unity Machine Learning Agents Toolkit** (ML-Agents) is an open-source
+Unity plugin that enables games and simulations to serve as environments for
+training intelligent agents. Agents can be trained using reinforcement learning,
+imitation learning, neuroevolution, or other machine learning methods through a
+simple-to-use Python API. We also provide implementations (based on TensorFlow)
+of state-of-the-art algorithms to enable game developers and hobbyists to easily
+train intelligent agents for 2D, 3D and VR/AR games. These trained agents can be
+used for multiple purposes, including controlling NPC behavior (in a variety of
+settings such as multi-agent and adversarial), automated testing of game builds
+and evaluating different game design decisions pre-release. The ML-Agents
+toolkit is mutually beneficial for both game developers and AI researchers as it
+provides a central platform where advances in AI can be evaluated on Unity’s
+rich environments and then made accessible to the wider research and game
+developer communities.
+
+## Features
+
+* Unity environment control from Python
+* 10+ sample Unity environments
+* Support for multiple environment configurations and training scenarios
+* Train memory-enhanced agents using deep reinforcement learning
+* Easily definable Curriculum Learning scenarios
+* Broadcasting of agent behavior for supervised learning
+* Built-in support for Imitation Learning
+* Flexible agent control with On Demand Decision Making
+* Visualizing network outputs within the environment
+* Simplified set-up with Docker
+
+## Documentation
+
+* For more information, in addition to installation and usage instructions, see
+  our [documentation home](docs/Readme.md).
+* If you have used a version of the ML-Agents toolkit prior to v0.4, we strongly
+  recommend our [guide on migrating from earlier versions](docs/Migrating.md).
+
+## References
+
+We have published a series of blog posts that are relevant for ML-Agents:
+
+* Overviewing reinforcement learning concepts
+  ([multi-armed bandit](https://blogs.unity3d.com/2017/06/26/unity-ai-themed-blog-entries/)
+  and
+  [Q-learning](https://blogs.unity3d.com/2017/08/22/unity-ai-reinforcement-learning-with-q-learning/))
+* [Using Machine Learning Agents in a real game: a beginner’s guide](https://blogs.unity3d.com/2017/12/11/using-machine-learning-agents-in-a-real-game-a-beginners-guide/)
+* [Post](https://blogs.unity3d.com/2018/02/28/introducing-the-winners-of-the-first-ml-agents-challenge/)
+  announcing the winners of our
+  [first ML-Agents Challenge](https://connect.unity.com/challenges/ml-agents-1)
+* [Post](https://blogs.unity3d.com/2018/01/23/designing-safer-cities-through-simulations/)
+  overviewing how Unity can be leveraged as a simulator to design safer cities.
+
+In addition to our own documentation, here are some additional, relevant articles:
+
+* [Unity AI - Unity 3D Artificial Intelligence](https://www.youtube.com/watch?v=bqsfkGbBU6k)
+* [A Game Developer Learns Machine Learning](https://mikecann.co.uk/machine-learning/a-game-developer-learns-machine-learning-intent/)
+* [Explore Unity Technologies ML-Agents Exclusively on Intel Architecture](https://software.intel.com/en-us/articles/explore-unity-technologies-ml-agents-exclusively-on-intel-architecture)
+
+## Community and Feedback
+
+The ML-Agents toolkit is an open-source project and we encourage and welcome
+contributions. If you wish to contribute, be sure to review our
+[contribution guidelines](CONTRIBUTING.md) and
+[code of conduct](CODE_OF_CONDUCT.md).
+
+You can connect with us and the broader community
+through Unity Connect and GitHub:
+
+* Join our
+  [Unity Machine Learning Channel](https://connect.unity.com/messages/c/035fba4f88400000)
+  to connect with others using the ML-Agents toolkit and Unity developers
+  enthusiastic about machine learning. We use that channel to surface updates
+  regarding the ML-Agents toolkit (and, more broadly, machine learning in
+  games).
+* If you run into any problems using the ML-Agents toolkit,
+  [submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
+  make sure to include as much detail as possible.
+
+For any other questions or feedback, connect directly with the ML-Agents
+team at ml-agents@unity3d.com.
+
+## Translations
+
+To make the Unity ML-Agents toolkit accessible to the global research and
+Unity developer communities, we're attempting to create and maintain
+translations of our documentation. We've started with translating a subset
+of the documentation to one language (Chinese), but we hope to continue
+translating more pages and to other languages. Consequently,
+we welcome any enhancements and improvements from the community.
+
+* [Chinese](docs/localized/zh-CN/)
+
+## License
+
+[Apache License 2.0](LICENSE)