260dl/month
Identifier
Model ID
sb3/dqn-MsPacmanNoFrameskip-v4Tags
stable-baselines3MsPacmanNoFrameskip-v4deep-reinforcement-learningreinforcement-learningmodel-indexregion:us
Use dqn-MsPacmanNoFrameskip-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-MsPacmanNoFrameskip-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/mo260
View on HuggingFace
See model card, files, and community discussion
Related Reinforcement Learning Models
HumanCompatibleAI/ppo-Pendulum-v1
43K
HumanCompatibleAI/ppo-seals-CartPole-v0
43K
mradermacher/AReaL-SEA-235B-A22B-i1-GGUF
15K
mradermacher/Delphi-25B-SimpleRL-Math-i1-GGUF
5K
PaulVialard/ppo-Huggy
5K
mradermacher/SpatialThinker-30B-i1-GGUF
4K
TianheWu/VisualQuality-R1-7B
4K
mradermacher/SpatialThinker-7B-i1-GGUF
4K