villekuosmanen/busybox_push_green_button
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RL-token encoder/decoder (RLT Stage 1) trained on the frozen π0.5 green-button checkpoint. This is the checkpoint hw_control.pi0_rlt loads to extract tokens for the demo cache and online RL.
| Policy | π0.5 + RLT (Pi0RLConfig, pi05=true) |
| Frozen VLA | pravsels/pi05_busybox_push_green_button |
| Dataset | villekuosmanen/busybox_push_green_button |
| Task | busybox_push_green_button |
| Prompt | push the green button |
| Action dim | 6 (single-arm; 5 joints delta, gripper absolute) |
| Cameras | top → base_0_rgb, wrist → left_wrist_0_rgb, front → base_1_rgb |
| Training | GCloud 1× A100 80GB, VLA frozen (rl_vla_loss_weight=0.0), 20k steps, global batch 16, action horizon 30 |
| W&B project | busybox_push_green_button_rlt |
| W&B run | wnk0bxds |
main is the finalized 20k checkpoint (params/ + assets/ at the repo root). train_state/ is not published.
| Field | Value |
|---|---|
| Latest published | main (params/, step 19999) |
| Config | pi05_rlt_busybox_push_green_button |
| Code | 4354d7d on task/rlt_busybox_green_button |
| Runtime | 4h 15m (2026-08-27 20:04 UTC → 2026-08-28 00:19 UTC) |
| Train loss | 9935.29 (step 0) → 189.18 (step 19900) |
from huggingface_hub import snapshot_download
from openpi.policies import policy_config
from openpi.training.config import get_config
ckpt = snapshot_download("pravsels/pi05_rlt_busybox_push_green_button")
policy = policy_config.create_trained_policy(
get_config("pi05_rlt_busybox_push_green_button"),
ckpt,
)
uv run scripts/serve_policy.py \
--policy.config=pi05_rlt_busybox_push_green_button \
--policy.dir=/path/to/pravsels/pi05_rlt_busybox_push_green_button