ml-agents/docs/Unity-Environment-Registry.md

Unity Environment Registry [Experimental]

The Unity Environment Registry is a database of pre-built Unity environments that can be easily used without having to install the Unity Editor. It is a great way to get started with our UnityEnvironment API.

Loading an Environment from the Registry

To get started, you can access the default registry we provide with our Example Environments. The Unity Environment Registry implements a Mapping, therefore, you can access an entry with its identifier with the square brackets [ ]. Use the following code to list all of the environment identifiers present in the default registry:

from mlagents_envs.registry import default_registry

environment_names = list(default_registry.keys())
for name in environment_names:
   print(name)

The make() method on a registry value will return a UnityEnvironment ready to be used. All arguments passed to the make method will be passed to the constructor of the UnityEnvironment as well. Refer to the documentation on the Python-API for more information about the arguments of the UnityEnvironment constructor. For example, the following code will create the environment under the identifier "my-env", reset it, perform a few steps and finally close it:

from mlagents_envs.registry import default_registry

env = default_registry["my-env"].make()
env.reset()
for _ in range(10):
  env.step()
env.close()

Create and share your own registry

In order to share the UnityEnvironemnt you created, you must :

• Create a Unity executable of your environment for each platform (Linux, OSX and/or Windows)
• Place each executable in a zip compressed folder
• Upload each zip file online to your preferred hosting platform
• Create a yaml file that will contain the description and path to your environment
• Upload the yaml file online The yaml file must have the following format :

environments:
  - <environment-identifier>:
     expected_reward: <expected-reward-float>
     description: <description-of-the-environment>
     linux_url: <url-to-the-linux-zip-folder>
     darwin_url: <url-to-the-osx-zip-folder>
     win_url: <url-to-the-windows-zip-folder>
     additional_args:
      - <an-optional-list-of-command-line-arguments-for-the-executable>
      - ...

Your users can now use your environment with the following code :

from mlagents_envs.registry import UnityEnvRegistry

registry = UnityEnvRegistry()
registry.register_from_yaml("url-or-path-to-your-yaml-file")

Note: The "url-or-path-to-your-yaml-file" can be either a url or a local path.