ppo-Huggy is an open-source reinforcement learning model designed for use with ML-Agents and Hugging Face tools. It enables researchers and developers to train, evaluate, and deploy RL agents in various environments, supporting ONNX and TensorBoard integration.
Ppo Huggy is an Other AI product. It focuses on providing a reinforcement learning model for developers to train and evaluate agents using ML-Agents. Ppo Huggy is an open-source project aimed at machine learning researchers. The project is open source (Open Source). Ppo Huggy is available on the web and the command line, and it can be self-hosted.
It is developed by Freddy39, and the product first shipped in 2017. The project is developed in the open on GitHub with 19.6k stars and 15 commits in the last 90 days. PulseGate's similarity index places it among 8 comparable tools. Among its 4 catalogued features are reinforcement learning, ML-Agents integration, and ONNX export.
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