--- 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}, } ```