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v0.1
ml-agents/ml-agents
GitHub
8c5edc99
Improvements to Training-ML-Agents (#3776)
* Improvements to Training-ML-Agents
- Removed duplicate documentation
- Moved CLI descriptions to learn.py
- Reorganized "Training with mlagents-learn" into 5 sub-sections
* fixed formatting errors and incorporated minor feedback
* minor improvement
* Minor formatting.
* fixed run-id references
* Keeping link to use Inference consistent with master
Will update the UIE page in a separate PR.
* Squashed commit of the following:
commit 9600d0fbe6684eca69fb5bab84ab0f6754fc8b0f
Author: Marwan Mattar <marwan@unity3d.com>
Date: Tue Apr 14 17:45:33 2020 -0700
Various doc improvements (#3775)
* Various doc improvements
For Using-Virtual-Environment.md:
- Made a note regarding updating setuptools and pip.
- Changed lists from "-" to "*"
For Using-Tensorboard.md:
- Changed the ordered list to use "1."
For Training-on-Microsoft-Azure-Custom-Instance.md:
- Deleted ...
|
5 年前 | |
|---|---|---|
| .. | ||
| mlagents | Improvements to Training-ML-Agents (#3776) | 5 年前 |
| tests | [MLA-867] New integration tests for gym and llapi (#3757) | 5 年前 |
| README.md | Rename mlagents.envs to mlagents_envs (#3083) | 5 年前 |
| setup.py | Removing the notebooks from the github repository. (#3704) | 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.