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Merge pull request #1494 from Unity-Technologies/release-v0.6
v0.6 Release
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.circleci/config.yml

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version: 2.1
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jobs:
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build:
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docker:
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- image: circleci/python:3.6.1
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working_directory: ~/repo
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steps:
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- checkout
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- restore_cache:
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keys:
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- v1-dependencies-{{ checksum "ml-agents/setup.py" }}
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# fallback to using the latest cache if no exact match is found
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- v1-dependencies-
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- run:
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name: Install Dependencies
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command: |
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python3 -m venv venv
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. venv/bin/activate
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cd ml-agents && pip install -e .
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- save_cache:
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paths:
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- ./venv
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key: v1-dependencies-{{ checksum "ml-agents/setup.py" }}
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- run:
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name: Run Tests
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command: |
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. venv/bin/activate
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cd ml-agents/ && pytest tests/
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mkdir test-reports
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pytest --junitxml=test-reports/junit.xml
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- store_test_results:
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path: ml-agents/test-reports
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- store_artifacts:
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path: ml-agents/test-reports
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destination: ml-agents/test-reports

.gitignore

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/UnitySDK/Assets/AssetStoreTools*
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/UnitySDK/Assets/Plugins*
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/UnitySDK/Assets/Gizmos*
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/UnitySDK/Assets/Demonstrations*
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# Tensorflow Model Info
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/models
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/UnitySDK/Assets/ML-Agents/Plugins/Android*
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/UnitySDK/Assets/ML-Agents/Plugins/iOS*
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/UnitySDK/Assets/ML-Agents/Plugins/Computer*
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/UnitySDK/Assets/ML-Agents/Plugins/System*
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/UnitySDK/Assets/ML-Agents/Plugins/System.Numerics*
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/UnitySDK/Assets/ML-Agents/Plugins/System.ValueTuple*
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# Generated doc folders
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/docs/html

README.md

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* For more information, in addition to installation and usage instructions, see
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our [documentation home](docs/Readme.md).
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* If you are a researcher interested in a discussion of Unity as an AI platform, see a pre-print of our [reference paper on Unity and the ML-Agents Toolkit](https://arxiv.org/abs/1809.02627). Also, see below for instructions on citing this paper.
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* If you have used a version of the ML-Agents toolkit prior to v0.5, we strongly
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* If you have used an earlier version of the ML-Agents toolkit, we strongly
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recommend our [guide on migrating from earlier versions](docs/Migrating.md).
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## Additional Resources
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[contribution guidelines](CONTRIBUTING.md) and
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[code of conduct](CODE_OF_CONDUCT.md).
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You can connect with us and the broader community
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through Unity Connect and GitHub:
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* Join our
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[Unity Machine Learning Channel](https://connect.unity.com/messages/c/035fba4f88400000)
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to connect with others using the ML-Agents toolkit and Unity developers
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enthusiastic about machine learning. We use that channel to surface updates
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regarding the ML-Agents toolkit (and, more broadly, machine learning in
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games).
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* If you run into any problems using the ML-Agents toolkit,
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[submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
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make sure to include as much detail as possible.
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* Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to [let us know about it](https://github.com/Unity-Technologies/ml-agents/issues/1454).
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If you run into any problems using the ML-Agents toolkit,
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[submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
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make sure to include as much detail as possible.
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Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to [let us know about it](https://github.com/Unity-Technologies/ml-agents/issues/1454).
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For any other questions or feedback, connect directly with the ML-Agents
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