GitHub
7b78ffeb
support newer versions of tensorflow (2.1+) (#3830)
* support tf2.x and python3.8 * tensorflow==2.2.0rc3 for python3.8 * stick with tf2.1 and py3.7 for now * More gail visual steps in simple test (#3836) * increase gail visual ppo steps * increase to 2000 * tune steps down to 750 Co-authored-by: andrewcoh <54679309+andrewcoh@users.noreply.github.com> |
5 年前 | |
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.. | ||
mlagents | support newer versions of tensorflow (2.1+) (#3830) | 5 年前 |
tests | Making Gym a wrapper (#3812) | 5 年前 |
README.md | Rename mlagents.envs to mlagents_envs (#3083) | 5 年前 |
setup.py | support newer versions of tensorflow (2.1+) (#3830) | 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.