ppo-Huggy is an open-source reinforcement learning model designed for use with ML-Agents. It supports training, evaluation, and deployment of RL agents, and is available via Hugging Face for developers and researchers in AI and machine learning.
Ppo Huggy is an Other AI product. Allowing developers to train and deploy reinforcement learning agents using open-source models and ML-Agents integration. Ppo Huggy is an open-source project aimed at AI researchers and RL developers. The project is open source (Open Source). It runs on the web, API, and the command line.
It is developed by Juizgoku, and the product first shipped in 2017. The project is developed in the open on GitHub with 19.6k stars and 16 commits in the last 90 days. Across PulseGate's embedding index, Ppo Huggy has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are reinforcement learning, ML-Agents integration, and open source.
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