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Unity Machine Learning Agents

Project description

Unity ML-Agents Trainers

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.

Installation

Install the mlagents package with:

pip3 install mlagents

Usage & More Information

For 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.

Limitations

  • mlagents does 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.

Project details


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