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v0.1
ml-agents/ml-agents
GitHub
a6df9f43
Develop new ll api (#3022)
* initial commit for LL-API * fixing ml-agents-envs tests * Implementing action masks * training is fixed for 3DBall * Tests all fixed, gym is broken and missing documentation changes * adding case where no vector obs * Fixed Gym * fixing tests of float64 * fixing float64 * reverting some of brain.py * removing old proto apis * comment type fixes * added properties to AgentGroupSpec and edited the notebooks. * clearing the notebook outputs * Update gym-unity/gym_unity/tests/test_gym.py Co-Authored-By: Chris Elion <chris.elion@unity3d.com> * Update gym-unity/gym_unity/tests/test_gym.py Co-Authored-By: Chris Elion <chris.elion@unity3d.com> * Update ml-agents-envs/mlagents/envs/base_env.py Co-Authored-By: Chris Elion <chris.elion@unity3d.com> * Update ml-agents-envs/mlagents/envs/base_env.py Co-Authored-By: Chris Elion <chris.elion@unity3d.com> * addressing first comments * NaN checks for r... |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents | Develop new ll api (#3022) | 5 年前 |
| README.md | Fixing tables in documentation and other markdown errors. (#1199) | 6 年前 |
| setup.py | Allow --version argument in mlagents-learn (#2942) | 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.