simillusion/planet-dmc-cartpole-swingup
reinforcement-learning model by simillusion
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A demo checkpoint from Simulusion, an open-source PyTorch library that puts world models behind one API. It implements the paper Learning Latent Dynamics for Planning from Pixels (Hafner et al., ICML 2019). PlaNet has no policy network. At every step it searches over action sequences with the cross-entropy method inside its learned latent model, and executes the first action of the best plan. Trained from scratch for 75 minutes on a 4 GB RTX 3050 laptop GPU (action repeat 8). Evaluation return rose from 76 to 435; a recorded planner episode scores 388. This is a short demo run sized for a laptop GPU, meant to show what the model does.…
Read the full model card ↗ · Preview checked 2026-11-01T05:27:30.932Z
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Model overview
simillusion/planet-dmc-cartpole-swingup is a reinforcement-learning model repository published by simillusion on Hugging Face. The source reports the simulusion library.
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Model facts
- Task
- reinforcement-learning
- Library
- simulusion
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-27T06:13:38.000Z
- Last modified
- 2026-10-27T06:13:53.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-27T06:47:19.891Z. Daily imports are snapshots, not real-time monitoring.
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