Instructions to use jaeikkim/fr3-cube-full10k-gaussian-policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use jaeikkim/fr3-cube-full10k-gaussian-policy with LeRobot:
- Notebooks
- Google Colab
- Kaggle
FR3 Cube Full10K Gaussian Policy
Checkpoints from 10K through 100K optimizer steps for the FR3 3-cube Gaussian Policy run.
Training contract
- ImageNet-pretrained ResNet18 for each of 3 RGB views
- Native 320×180 RGB, 4 observation frames, 10 Hz source data
- 7D delta EEF/OSC action: relative Cartesian 6D + binary gripper
- Teacher Gaussian mean/std KL loss
- Absolute and target-cube-frame relative pose auxiliary losses
- First episode frame masks action KL only; RGB and pose auxiliary remain enabled
- 2 GPUs, batch/GPU 352, global batch 704, LR 1.1e-3
Each .ckpt contains model and optimizer states plus global-step/epoch/LR-schedule resume metadata.
Sources
Use SHA256SUMS to verify downloaded files. Access is public with manual approval gating.