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v0.1
ml-agents/ml-agents
GitHub
0892ef2c
[WIP] ISensor interface and use for visual observations (#2731)
* ISensor and SensorBase * camera and rendertex first pass * use isensors for visual obs * Update gridworld with CameraSensors * compressed obs for reals * Remove AgentInfo.visualObservations * better separation of train and inference sensor calls * compressed obs proto - need CI to generate code * int32 * get proto name right * run protoc locally for new fiels * apply generated proto patch (pyi files were weird) * don't repeat bytes * hook up compressedobs * dont send BrainParameters until there's an AgentInfo * python BrainParameters now needs an AgentInfo to create * remove last (I hope) dependency on camerares * remove CameraResolutions and AgentInfo.visual_observations * update mypy-protobuf version * cleanup todos * python cleanup * more unit test fixes * more unit test fix * camera sensors for VisualFood collector, record demo * SensorCompon... |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents/trainers | [WIP] ISensor interface and use for visual observations (#2731) | 5 年前 |
| README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
| setup.py | Tick version numbers | 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.