ppo-Pyramids is an open-source reinforcement learning model designed for training agents in the Pyramids environment. It integrates with ML-Agents and supports ONNX export and TensorBoard visualization, making it suitable for AI researchers and developers.
Ppo Pyramids sits in PulseGate's Other AI category. Enabling developers to train and evaluate reinforcement learning agents in the Pyramids environment. It is built as an open-source project for AI researchers and reinforcement learning developers. Ppo Pyramids is open source under the Open Source license. It runs on the web and the command line, and it can be self-hosted.
Krecik940 builds and maintains Ppo Pyramids, and the product first shipped in 2017. Development happens publicly on GitHub with 19.6k stars and 16 commits in the last 90 days. Key capabilities include reinforcement learning, ML-Agents integration, and tensorBoard support.
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