ppo-SnowballTarget is an open-source reinforcement learning policy trained for the SnowballTarget environment. It is designed for researchers and developers working with ML-Agents and supports integration, evaluation, and further training with open weights.
Ppo SnowballTarget sits in PulseGate's Other AI category. It focuses on providing a ready-to-use reinforcement learning policy for benchmarking and research in the SnowballTarget environment. Ppo SnowballTarget is an open-source project aimed at reinforcement learning researchers, robotics developers, AI engineers. The project is open source (Open Source). The product ships for the web, the command line, and API, and it can be self-hosted.
Crazylazylife builds and maintains Ppo SnowballTarget, 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 SnowballTarget has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are reinforcement learning, open weights, and ML-Agents integration.
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