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com.unity.ml-agents_1.0.0
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com.unity.ml-agents_1.0.5
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latest_release
python-packages_0.16.0
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v0.1
ml-agents/ml-agents
GitHub
d2c320dd
Remove graph scope (#1205)
* initial commit : Only works with PPO balance ball * Fix for recurrent * [Fix indentation error] * Fixed BC * Remove Dead code * Addressing comment : Removing dead code * Fixing the Pytest * edited comments * Removing GraphScope from the InternalBrain (#1227) * Documentation changes for removing graph scope (#1226) * Documentation changes * removed the keep checkpoint printing |
6 年前 | |
|---|---|---|
| .. | ||
| mlagents | Remove graph scope (#1205) | 6 年前 |
| tests | Remove graph scope (#1205) | 6 年前 |
| README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
| requirements.txt | New proto files | 6 年前 |
| setup.py | Fixing learn.py, trainer_controller.py, and Docker (#1164) | 6 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-learnaccess 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.