The mlagents Python package is part of the
ML-Agents Toolkit. mlagents
provides a set of reinforcement and imitation learning algorithms designed to be
used with Unity environments. The algorithms interface with the Python API
provided by the mlagents_envs package. See here for
more information on mlagents_envs.
The algorithms can be accessed using the: mlagents-learn access point. See
here for more information on using this
package.
Install the mlagents package with:
python -m pip install mlagents==0.28.0For more information on the ML-Agents Toolkit and how to instrument a Unity scene with the ML-Agents SDK, check out the main ML-Agents Toolkit documentation.
mlagentsdoes not yet explicitly support multi-agent scenarios so training cooperative behavior among different agents is not stable.- Resuming self-play from a checkpoint resets the reported ELO to the default value.