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    Models/Reinforcement Learning/SamuelM0422/ppo-SolarTracker

    ppo-SolarTracker

    by SamuelM0422

    Identifier
    Model ID
    SamuelM0422/ppo-SolarTracker

    Tags

    ml-agentstensorboardonnxSolarTrackerPyTorchdeep-reinforcement-learningreinforcement-learningregion:us

    Use ppo-SolarTracker on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, ppo-SolarTracker runs as a managed extractor inside a processing pipeline. Point a bucket of reinforcement learning data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.