855dl/month
2likes
Identifier
Model ID
sb3/dqn-PongNoFrameskip-v4Tags
stable-baselines3PongNoFrameskip-v4deep-reinforcement-learningreinforcement-learningmodel-indexregion:us
Use dqn-PongNoFrameskip-v4 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, dqn-PongNoFrameskip-v4 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
Organizationsb3
TaskReinforcement Learning
Librarystable-baselines3
Downloads/mo855
Likes2
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