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    Models/Reinforcement Learning/MrBenjaroo/ppo-LunarLander-v3-veryBadTest
    Reinforcement Learningstable-baselines3

    ppo-LunarLander-v3-veryBadTest

    by MrBenjaroo

    Identifier
    Model ID
    MrBenjaroo/ppo-LunarLander-v3-veryBadTest

    Deploy ppo-LunarLander-v3-veryBadTest

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    stable-baselines3LunarLander-v3deep-reinforcement-learningreinforcement-learningmodel-indexregion:us

    Use ppo-LunarLander-v3-veryBadTest on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, ppo-LunarLander-v3-veryBadTest 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.