552dl/month
Identifier
Model ID
Tunamelon/ppo-LunarLander-v2Tags
stable-baselines3LunarLander-v2deep-reinforcement-learningreinforcement-learningmodel-indexregion:us
Use ppo-LunarLander-v2 on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, ppo-LunarLander-v2 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.
Specification
OrganizationTunamelon
TaskReinforcement Learning
Librarystable-baselines3
Downloads/mo552
View on HuggingFace
See model card, files, and community discussion