metadata
library_name: lerobot
tags:
- act
- robotics
- lerobot
act_block_stack
Standard LeRobot ACT trained from scratch on SO101 data.
| Policy | ACT (policy.type=act) |
| Dataset | villekuosmanen/armnetbench_block_stack |
| Task | block_stack |
| Action dim | 6 (single-arm) |
| Cameras | top, wrist, front |
| Training | GCloud A100-80GB (alpha-act-a100-1), batch 16, action horizon 30 |
| Loss @ 10k | 0.163 |
| W&B project | act_block_stack |
| W&B run | 6hzd0rjl |
Checkpoints
Archived copies:
| Step | Path |
|---|---|
| 010000 | checkpoints/010000/pretrained_model/ |
| 008000 | checkpoints/008000/pretrained_model/ |
The latest step (010000) is also copied to the repository root for direct loading.
Usage
from lerobot.policies.act.modeling_act import ACTPolicy
policy = ACTPolicy.from_pretrained("pravsels/act_block_stack")