Adds code of conduct to the repo

Author: cesar

CODE_OF_CONDUCT.md

@@ -0,0 +1,73 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+In the interest of fostering an open and welcoming environment, we as
+contributors and maintainers pledge to making participation in our project and
+our community a harassment-free experience for everyone, regardless of age, body
+size, disability, ethnicity, gender identity and expression, level of experience,
+nationality, personal appearance, race, religion, or sexual identity and
+orientation.
+
+## Our Standards
+
+Examples of behavior that contributes to creating a positive environment
+include:
+
+* Using welcoming and inclusive language
+* Being respectful of differing viewpoints and experiences
+* Gracefully accepting constructive criticism
+* Focusing on what is best for the community
+* Showing empathy towards other community members
+
+Examples of unacceptable behavior by participants include:
+
+* The use of sexualized language or imagery and unwelcome sexual attention or
+  advances
+* Trolling, insulting/derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or electronic
+  address, without explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Our Responsibilities
+
+Project maintainers are responsible for clarifying the standards of acceptable
+behavior and are expected to take appropriate and fair corrective action in
+response to any instances of unacceptable behavior.
+
+Project maintainers have the right and responsibility to remove, edit, or
+reject comments, commits, code, wiki edits, issues, and other contributions
+that are not aligned to this Code of Conduct, or to ban temporarily or
+permanently any contributor for other behaviors that they deem inappropriate,
+threatening, offensive, or harmful.
+
+## Scope
+
+This Code of Conduct applies both within project spaces and in public spaces
+when an individual is representing the project or its community. Examples of
+representing a project or community include using an official project e-mail
+address, posting via an official social media account, or acting as an appointed
+representative at an online or offline event. Representation of a project may be
+further defined and clarified by project maintainers.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported by contacting the project team at [email protected]. All
+complaints will be reviewed and investigated and will result in a response that
+is deemed necessary and appropriate to the circumstances. The project team is
+obligated to maintain confidentiality with regard to the reporter of an incident.
+Further details of specific enforcement policies may be posted separately.
+
+Project maintainers who do not follow or enforce the Code of Conduct in good
+faith may face temporary or permanent repercussions as determined by other
+members of the project's leadership.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
+available at https://www.contributor-covenant.org/version/1/4/code-of-conduct/
+
+[homepage]: https://www.contributor-covenant.org

README.md

@@ -1,9 +1,17 @@
 <img src="images/unity-wide.png" align="middle" width="3000"/>
 
 # Unity ML - Agents
-**Unity Machine Learning Agents** allows researchers and developers to create games and simulations using the Unity Editor which serve as environments where intelligent agents can be trained using reinforcement learning, neuroevolution, or other machine learning methods through a simple-to-use Python API. For more information, see the [wiki page](../../wiki).
 
-For a walkthrough on how to train an agent in one of the provided example environments, start [here](../../wiki/Getting-Started-with-Balance-Ball).
+**Unity Machine Learning Agents** allows researchers and developers to
+create games and simulations using the Unity Editor which serve as
+environments where intelligent agents can be trained using
+reinforcement learning, neuroevolution, or other machine learning
+methods through a simple-to-use Python API. For more information, see
+the [wiki page](../../wiki).
+
+For a walkthrough on how to train an agent in one of the provided
+example environments, start
+[here](../../wiki/Getting-Started-with-Balance-Ball).
 
 ## Features
 * Unity Engine flexibility and simplicity
@@ -15,7 +23,16 @@ For a walkthrough on how to train an agent in one of the provided example enviro
 * Tensorflow Sharp Agent Embedding _[Experimental]_
 
 ## Creating an Environment
-The _Agents SDK_, including example environment scenes is localted in `unity-environment` folder. For requirements, instructions, and other information, see the contained Readme and the relevant [wiki page](../../wiki/Making-a-new-Unity-Environment).
+
+The _Agents SDK_, including example environment scenes is localted in
+`unity-environment` folder. For requirements, instructions, and other
+information, see the contained Readme and the relevant
+[wiki page](../../wiki/Making-a-new-Unity-Environment).
 
 ## Training your Agents
-Once you've built a Unity Environment, example Reinforcement Learning algorithms and the Python API are available in the `python` folder. For requirements, instructions, and other information, see the contained Readme and the relevant [wiki page](../../wiki/Unity-Agents---Python-API).
+
+Once you've built a Unity Environment, example Reinforcement Learning
+algorithms and the Python API are available in the `python`
+folder. For requirements, instructions, and other information, see the
+contained Readme and the relevant
+[wiki page](../../wiki/Unity-Agents---Python-API).