# rzc156/dreamforge

<https://repo.masters-masters.com/en/repos/rzc156/dreamforge>

[Home](https://repo.masters-masters.com/en) › [rzc156](https://repo.masters-masters.com/en/owners/rzc156) › [dreamforge](https://repo.masters-masters.com/en/repos/rzc156/dreamforge)

rzc156/dreamforge has 131 stars on GitHub. Its RepoMasters card: Prototype tier. Turn world-model imagination into corrective training data for robot policies…

| Field | Value |
| --- | --- |
| Owner | [rzc156](https://repo.masters-masters.com/en/owners/rzc156) |
| Stars | 131 |
| Forks | 3 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | embodied-ai, imitation-learning, lerobot, libero, pytorch, research, robotics, vision-language-action, vla, world-model |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [rzc156/dreamforge](https://github.com/rzc156/dreamforge) |

## Repository

Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.