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com.unity.ml-agents_1.0.0
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latest_release
python-packages_0.16.0
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v0.1
ml-agents/ml-agents
GitHub
d21be895
Develop allow python 3.7 (#2544)
* relax versions, add python 3.7 to CI * add workflows * try paramaterized circleci build, disable slow test * fix workflow * fix (?) pyversion * set job name, fix pip freeze output * test_requirements.txt * fix install * fix paths (again) - should use pushd popd instead * use pushd and popd * sort deps, restore unit test, cleanup CI * relax versions more * clean up versions in docs * test older libs for 3.6, newer for 3.7 * pip: progress bar off * fix gym-unity pip install * try cat'ing setups for checksum * dont use fallback (temporarily) * dont turn off progress bar before upgrading pip * PR feedback * add parameter descriptions in CI config |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents/trainers | Enable learning rate decay to be disabled (#2567) | 5 年前 |
| README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
| setup.py | Develop allow python 3.7 (#2544) | 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.