GitHub
43f23ee3
WIP : Changes to the LL-API - Refactor of “done” logic (#3681)
* [skip ci] WIP : Modify the base_env.py file * [skip ci] typo * [skip ci] renamed some methods * [skip ci] Incorporated changes from our meeting * [skip ci] everything is broken * [skip ci] everything is broken * [skip ci] formatting * Fixing the gym tests * Fixing bug, C# has an error that needs fixing * Fixing the test * relaxing the threshold of 0.99 to 0.9 * fixing the C# side * formating * Fixed the llapi integratio test * [Increasing steps for testing] * Fixing the python tests * Need __contains__ after all * changing the max_steps in the tests * addressing comments * Making env_manager logic clearer as proposed in the comments * Remove duplicated logic and added back in episode length (#3728) * removing mentions of multi-agent in gym and changed the docstring in base_env.py * Edited the Documentation for the changes to the LLAPI (#3733) * Edite... |
5 年前 | |
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mlagents | WIP : Changes to the LL-API - Refactor of “done” logic (#3681) | 5 年前 |
tests | WIP : Changes to the LL-API - Refactor of “done” logic (#3681) | 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-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.