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v0.1
ml-agents/ml-agents-envs
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 | |
---|---|---|
.. | ||
mlagents_envs | [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
The mlagents_envs
Python package is part of the
ML-Agents Toolkit.
mlagents_envs
provides a Python API that allows direct interaction with the Unity
game engine. It is used by the trainer implementation in mlagents
as well as
the gym-unity
package to perform reinforcement learning within Unity. mlagents_envs
can be
used independently of mlagents
for Python communication.
The mlagents_envs
Python package contains one sub package:
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.
Installation
Install the mlagents_envs
package with:
pip install mlagents_envs
Usage & More Information
For more detailed documentation, check out the ML-Agents Toolkit documentation.