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v0.1
ml-agents/ml-agents
GitHub
ea0c6fa0
[WIP] Side Channel Design Changes (#3807)
* Make EnvironmentParameters a first-class citizen in the API Missing: Python conterparts and testing. * Minor comment fix to Engine Parameters * A second minor fix. * Make EngineConfigChannel Internal and add a singleton/sealed accessor * Make StatsSideChannel Internal and add a singleton/sealed accessor * Changes to SideChannelUtils - Disallow two sidechannels of the same type to be added - Remove GetSideChannels that return a list as that is now unnecessary - Make most methods except (register/unregister) internal to limit users impacting the “system-level” side channels - Add an improved comment to SideChannel.cs * Added Dispose methods to system-level sidechannel wrappers - Specifically to StatsRecorder, EnvironmentParameters and EngineParameters. - Updated Academy.Dispose to take advantage of these. - Updated Editor tests to cover all three “system-level” side channels. Kudos to Unit Tests (TestAcade... |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents | [WIP] Side Channel Design Changes (#3807) | 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 | Removing the notebooks from the github repository. (#3704) | 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-learnaccess 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.