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    Models/Reinforcement Learning/graceesthi/ug-cppo-finai-2025
    Reinforcement Learningstable-baselines3mit

    ug-cppo-finai-2025

    by graceesthi

    Identifier
    Model ID
    graceesthi/ug-cppo-finai-2025

    Tags

    stable-baselines3reinforcement-learningfinancetradingllmuncertainty-quantificationfinrlcvar-ppomulti-seed-evaluationenlicense:mitregion:us

    Use ug-cppo-finai-2025 on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, ug-cppo-finai-2025 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.