Ervin T
b30f4c90
Split `mlagents` into two packages (#1812)
* Reogranize project * Fix all tests * Address comments * Delete init file * Update requirements * Tick version * Add timeout wait parameter (mlagents_envs) (#1699) * Add timeout wait param * Remove unnecessary function * Add new meta files for communicator objects * Fix all tests * update circleci * Reorganize mlagents_envs tests * WIP: test removing circleci cache * Move gym tests * Namespaced packages * Update installation instructions for separate packages * Remove unused package from setup script * Add Readme for ml-agents-envs * Clarify docs and re-comment compiler in make.bat * Add more doc to installation * Add back fix for Hololens * Recompile Protobufs * Change mlagents_envs to mlagents.envs in trainer_controller * Remove extraneous files, fix win bat script * Support Python 3.7 for envs package |
6 年前 | |
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mlagents/trainers | Split `mlagents` into two packages (#1812) | 6 年前 |
README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
setup.py | Split `mlagents` into two packages (#1812) | 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-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.