GitHub
6c354d16
New Learning Brain (#1303)
* Initial Commit * attempt at refactor * Put all static methods into the CoreInternalBrain * improvements * more testing * modifications * renamed epsilon * misc * Now supports discrete actions * added discrete support and RNN and visual. Left to do is refactor and save variables into models * code cleaning * made a tensor generator and applier * fix on the models.py file * Moved the Checks to a different Class * Added some unit tests * BugFix * Need to generate the output tensors as well as inputs before executing the graph * Made NodeNames static and created a new namespace * Added comments to the TensorAppliers * Started adding comments on the TensorGenerators code * Added comments for the Tensor Generator * Moving the helper classes into a separate folder * Added initial comments to the TensorChecks * Renamed NodeNames -> TensorNames * Removing warnings in tests * Now using Aut... |
6 年前 | |
---|---|---|
.. | ||
mlagents | New Learning Brain (#1303) | 6 年前 |
tests | Brains as Scriptable Objects (#1250) | 6 年前 |
README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
requirements.txt | New proto files | 7 年前 |
setup.py | Fixing learn.py, trainer_controller.py, and Docker (#1164) | 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.