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com.unity.ml-agents_1.0.0
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v0.1
ml-agents/ml-agents-envs
GitHub
ddb01eb2
MultiAgentGroup Interface (#4923)
* add SimpleMultiAgentGroup * add group reward field to agent and proto |
4 年前 | |
---|---|---|
.. | ||
mlagents_envs | MultiAgentGroup Interface (#4923) | 4 年前 |
README.md | Several, small documentation improvements (#3903) | 5 年前 |
setup.py | Clarify Python 3.8 support (#4784) | 4 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.
Installation
Install the mlagents_envs
package with:
pip3 install mlagents_envs
Usage & More Information
See the Python API Guide for more information on how to use the API to interact with a Unity environment.
For more information on the ML-Agents Toolkit and how to instrument a Unity scene with the ML-Agents SDK, check out the main ML-Agents Toolkit documentation.
Limitations
mlagents_envs
uses localhost ports to exchange data between Unity and Python. As such, multiple instances can have their ports collide, leading to errors. Make sure to use a different port if you are using multiple instances ofUnityEnvironment
.- Communication between Unity and the Python
UnityEnvironment
is not secure. - On Linux, ports are not released immediately after the communication closes.
As such, you cannot reuse ports right after closing a
UnityEnvironment
.