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license: other
license_name: nvidia-open-model-license
base_model: nvidia/Cosmos-Predict2-2B-Video2World
library_name: cosmos
pipeline_tag: image-to-video
tags:
- robotics
- world-model
- action-conditioned-video
- cosmos
---
# Prophet World Model
Built on NVIDIA Cosmos.
Prophet is the single-view, history-aware, action-conditioned robot world model introduced in **Reinforcing Action Policies by Prophesying**. It predicts future robot-observation videos from an initial observation, a 20-step action chunk, and an optional history buffer and projected action-frame sequence.
## Released Variants
- `prophet-pretrained.pt`: heterogeneous robot-data pretrained checkpoint used for downstream adaptation.
- `prophet-bridge.pt`: full-parameter BRIDGE-adapted checkpoint.
- `prophet-libero.pt`: full-parameter LIBERO-adapted checkpoint.
Exact sizes and SHA-256 checksums are listed in `weights.json`.
Internal run identifiers, training dates, and exact checkpoint iterations are intentionally omitted from the public release metadata.
## Base Model and License
The checkpoints are derivative models of `nvidia/Cosmos-Predict2-2B-Video2World`. They are governed by the NVIDIA Open Model License included in `NVIDIA_OPEN_MODEL_LICENSE.md`. The repository source code is separately available under Apache-2.0.
Licensed by NVIDIA Corporation under the NVIDIA Open Model License.
## Intended Use
- Research on action-conditioned robot world models.
- Open-loop or autoregressive video rollout generation.
- Initialization for BRIDGE, LIBERO, or similarly formatted robot-data adaptation.
- Learned-simulator research with independent real-environment validation.
## Limitations
- Generated rollouts can hallucinate geometry, contacts, object state, or task success.
- Long autoregressive rollouts accumulate visual and dynamics errors.
- The model is not a replacement for real-robot safety validation or a certified simulator.
- Dataset-specific camera calibration and action semantics affect transfer quality.
- The released checkpoints are single-view; A2World multi-view models are not included.
## Citation
```bibtex
@article{zhang2025prophrl,
title={Reinforcing Action Policies by Prophesying},
author={Zhang, Jiahui and Huang, Ze and Gu, Chun and Ma, Zipei and Zhang, Li},
year={2025},
journal={arXiv preprint arXiv:2511.20633},
}
```
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