GitHub
fccbcdd2
Removed the default for width and height of the executable training. (#3867)
* Removed the default for width and height of the executable training. This is to help relove #3835 since setting the screen resolution on Linux 2019.3 can cause issues. * Editing the changelog * Making fields in EngineConfig optional |
5 年前 | |
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mlagents | Removed the default for width and height of the executable training. (#3867) | 5 年前 |
tests | [MLA-850] rename namespaces to Unity.MLAgents (#3843) | 5 年前 |
README.md | Doc link fix (#3865) | 5 年前 |
setup.py | Release tooling (#3856) | 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.