ppo-Huggy is an open-source reinforcement learning agent model compatible with ML-Agents. It supports ONNX export and TensorBoard integration, enabling AI researchers and simulation developers to accelerate RL experimentation and deployment.
In the Other AI space, Ppo Huggy takes a focused approach. It focuses on providing a pretrained reinforcement learning agent for developers using ML-Agents in simulation or robotics. Ppo Huggy is an open-source project aimed at AI researchers and simulation developers. The project is open source (Open Source). The product ships for the web and the command line, and it can be self-hosted.
It is developed by akgrenier, 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. PulseGate's similarity index places it among 10 comparable tools. Among its 4 catalogued features are reinforcement learning, ML-Agents integration, and ONNX export.
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