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com.unity.ml-agents_1.0.0
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v0.1
ml-agents/ml-agents
GitHub
0ff8f9af
Create ML-Agents Package (#3267)
Convert the UnitySDK to a Packman Package. - Separate Examples into a sample project. - Move core UnitySDK Code into com.unity.ml-agents. - Create asmdefs for the ml-agents package. - Add package validation tests for win/linux/max. - Update protobuf generation scripts. - Add Barracuda as a package dependency for ML-Agents. (users no longer have to install it themselves). |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents | Create ML-Agents Package (#3267) | 5 年前 |
| tests | Create ML-Agents Package (#3267) | 5 年前 |
| README.md | Rename mlagents.envs to mlagents_envs (#3083) | 5 年前 |
| setup.py | Add 'run-experiment' script, simpler curriculum config (#3186) | 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.