ppo-Huggy is an open-source reinforcement learning model designed for use with ML-Agents and Huggy environments. It enables researchers and developers to train, evaluate, and deploy RL agents in compatible simulation environments.
Ppo Huggy sits in PulseGate's Other AI category. It focuses on providing an open-source reinforcement learning model for ML-Agents and Huggy environments. Ppo Huggy is an open-source project aimed at reinforcement learning researchers and developers. The project is open source (Open Source). It runs on the web and the command line, and it can be self-hosted.
sameeerrry builds and maintains Ppo Huggy, 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 9 comparable tools. Among its 5 catalogued features are reinforcement learning, ML-Agents support, and open weights.
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