AI BriefingHugging Face Supports the ML-Agents Ecosystem
Key point
Hugging Face has announced the building of a Deep Reinforcement Learning (DRL) ecosystem using Unity ML-Agents.
Details
Hugging Face has announced the building of a new ecosystem for Deep Reinforcement Learning (DRL) research and development using Unity ML-Agents. As its first step, it released a custom DRL environment called 'Snowball Fight'.
The key supported features are as follows:
- Environment sharing: Develop custom Unity-based environments as open source and share them via the Hugging Face Hub.
- Hosting and model management: Provides infrastructure to publish training environments to the Hub and to store and share trained models.
- Demo showcasing: Use Hugging Face Spaces to instantly showcase agents' training results on the web.
Going forward, Hugging Face plans to provide ML-Agents technical tutorials and add various custom environments, including a 2vs2 environment applying MA-POCA, a cooperative behavior learning algorithm.
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