Continuous control environments for Unity ML-Agents Toolkit
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MarathonEnvs provides a suite of high-dimensional continuous control environments built with Unity's PhysX engine, targeting researchers in video games and robotics. It offers benchmarks for locomotion and AI control, enabling the application of advanced robotics research to game development and providing a Unity-based alternative to established suites like DeepMind Control Suite or OpenAI Gym's MuJoCo environments.
How It Works
The environments leverage Unity's native PhysX physics simulator for realistic, high-fidelity simulations. They are designed to be compatible with the Unity ML-Agents Toolkit and any OpenAI Gym-compatible reinforcement learning algorithm. The suite includes diverse environments inspired by research papers like DReCon for controller-based agents and DeepMimic for learning from motion capture, alongside procedurally generated terrains for generalization studies and classical locomotion tasks.
Quick Start & Requirements
pip3 install mlagents==0.14.1
envs\
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Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
5 years ago
1 week