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com.unity.ml-agents_1.0.0
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v0.1
ml-agents/ml-agents
GitHub
0438acbf
Deploy new versions to pypi (#2789)
* add VERSION variable to each setup.py * update setups and config * fix index * fix indent for real * fix parameter * Bump version to 0.11.0.dev0 * Change CircleCI config to support dev releases * Minor fix to deploy regex * fix url in comments * More circleCI tweaks * Remove filters / 0.11.0.dev3 * Use test .pypirc * Add config file flag to twine * Manually pass user and pass to twine * 0.11.0.dev0 * add precommit validation step * remove todo * Revert version to 0.10.1 * Docstring tweaks * fix gym version |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents/trainers | [WIP] ISensor interface and use for visual observations (#2731) | 5 年前 |
| README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
| setup.py | Deploy new versions to pypi (#2789) | 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-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.