GitHub
a488299f
[MLA-345] float visual observations (#3148)
* pass shape to WriteAdapter * handle floats on python side * cleanup * whitespace * rename GetFloatObservationShape, support uncompressed in RenderTexture sensor * numpy float32 * remove unused using * Float sensor and unit test * replace asserts with exceptions, docstrings |
5 年前 | |
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mlagents | [MLA-345] float visual observations (#3148) | 5 年前 |
README.md | Rename mlagents.envs to mlagents_envs (#3083) | 5 年前 |
setup.py | Rename mlagents.envs to mlagents_envs (#3083) | 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.