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tags:
- robomimic
- robotics
- imitation-learning
- flow-matching
---
# WarmPrior Robomimic Checkpoints
This repository contains model checkpoints from the WarmPrior_Robomimic experiments.
## Repository Structure
Each experiment run is stored in its own folder with the following structure:
```
run_name/
βββ model_best.pt # Best performing checkpoint
βββ model_latest.pt # Latest checkpoint
```
## Available Runs
| Run Name | Method | Best | Latest |
|----------|--------|------|--------|
| `PA_0116_010604_tool_hang_ph_image_flow_chitransformer_384_noise0.5_seed2` | PA | β
| β
|
| `PA_0116_010619_tool_hang_ph_image_flow_chiunet_256_noise0.5_seed2` | PA | β
| β
|
| `PA_0116_010624_square_mh_image_flow_chitransformer_384_noise0.5_seed2` | PA | β
| β
|
| `PA_0116_010629_square_mh_image_flow_chiunet_256_noise0.5_seed2` | PA | β
| β
|
| `PA_0117_141516_square_mh_image_flow_chiunet_256_noise0.3_seed2` | PA | β
| β
|
| `PA_0117_165708_square_mh_image_flow_chitransformer_384_noise0.3_seed2` | PA | β
| β
|
| `PA_0117_211126_tool_hang_ph_image_flow_chiunet_256_noise0.3_seed2` | PA | β
| β
|
| `PA_0117_231750_tool_hang_ph_image_flow_chitransformer_384_noise0.3_seed2` | PA | β
| β
|
## Usage
To download a specific checkpoint:
```python
from huggingface_hub import hf_hub_download
import torch
# Download a specific checkpoint
model_path = hf_hub_download(
repo_id="SinjaeKang/wp_robomimic",
filename="RUN_NAME/model_best.pt"
)
# Load the model
checkpoint = torch.load(model_path, map_location='cpu')
```
Or download all checkpoints:
```python
from huggingface_hub import snapshot_download
# Download entire repository
local_dir = snapshot_download(
repo_id="SinjaeKang/wp_robomimic",
local_dir="./checkpoints"
)
```
## Methods
- **BASE**: Baseline model without warm prior
- **PA**: Previous Action warm prior
- **AC**: Action Chunk warm prior
## Training Details
For more information about the training procedure and methodology, please refer to the [WarmPrior_Robomimic repository](https://github.com/YourUsername/WarmPrior_Robomimic).
|