GitHub
83ac520a
Merge 0.15.1 to master (#3755)
* Bumping version on the release (#3615) * Update examples project to 2018.4.18f1 (#3618) From 2018.4.14f1. An internal package dependency was updated as a side effect. * Remove dead components from the examples scenes (#3619) (#3624) * Improve warnings and exception if using unsupported combo * add meta file * fix unit test * enforce onnx conversion (expect tf2 CI to fail) (#3600) * Update error message * Updated the release branch docs (#3621) * Updated the release branch docs * Edited the README * make sure top-level timer is closed before writing * Remove space from Product Name for examples In #2588 it was suggested that the space in the Product Name for our example environments causes confusion when using a default build because of the need to escape the space in the build filename. This change removes the space from the Product Name in the project's player settings. * [bug-fix] Increase 3dbal... |
5 年前 | |
---|---|---|
.. | ||
mlagents | Merge 0.15.1 to master (#3755) | 5 年前 |
tests | WIP : Changes to the LL-API - Refactor of “done” logic (#3681) | 5 年前 |
README.md | Rename mlagents.envs to mlagents_envs (#3083) | 5 年前 |
setup.py | Removing the notebooks from the github repository. (#3704) | 5 年前 |
README.md
Unity ML-Agents Python Interface and Trainers
The mlagents
Python package is part of the
ML-Agents Toolkit.
mlagents
provides a Python API that allows direct interaction with the Unity
game engine as well as a collection of trainers and algorithms to train agents
in Unity environments.
The mlagents
Python package contains two sub packages:
-
mlagents_envs
: A low level API which allows you to interact directly with a Unity Environment. See here for more information on using this package. -
mlagents.trainers
: A set of Reinforcement Learning algorithms designed to be used with Unity environments. Access them using the:mlagents-learn
access point. See here for more information on using this package.
Installation
Install the mlagents
package with:
pip install mlagents
Usage & More Information
For more detailed documentation, check out the ML-Agents Toolkit documentation.