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com.unity.ml-agents_1.0.0
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v0.1
ml-agents/ml-agents-envs
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/envs | Develop new ll api (#3022) | 5 年前 |
| README.md | fix trailing whitespace in markdown (#2786) | 5 年前 |
| setup.py | Allow --version argument in mlagents-learn (#2942) | 5 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.
The mlagents_envs Python package contains one sub package:
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.
Installation
Install the mlagents_envs package with:
pip install mlagents_envs
Usage & More Information
For more detailed documentation, check out the ML-Agents Toolkit documentation.