GitHub
24ba9d58
Develop deprecate broadcasting (#2669)
* Feature Deprecation : Online Behavioral Cloning In this PR : - Delete the online_bc_trainer - Delete the tests for online bc - delete the configuration file for online bc training * Deleting the BCTeacherHelper.cs Script TODO : - Remove usages in the scene - Documentation Edits *DO NOT MERGE* * IMPORTANT : REMOVED ALL IL SCENES - Removed all the IL scenes from the Examples folder * Removed all mentions of online BC training in the Documentation * Made a note in the Migrating.md doc about the removal of the Online BC feature. * Modified the Academy UI to remove the control checkbox and replaced it with a train in the editor checkbox * Removed the Broadcast functionality from the non-Learning brains * Bug fix * Note that the scenes are broken since the BroadcastHub has changed * Modified the LL-API for Python to remove the broadcasting functiuonality. * All unit tests are running * Modifie... |
5 年前 | |
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mlagents/trainers | Develop deprecate broadcasting (#2669) | 5 年前 |
README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
setup.py | Tick version of API and pypi packages to 10 (#2610) | 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-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.