bagging_plock_v1_150clean_act

ACT (Action Chunking with Transformers) — imitation learning that predicts short action chunks instead of single steps. See the paper.

Trained with LeDream (a fork of LeRobot).

Training

• Dataset: DreamMachines/bagging_plock_v1_150clean
• Step (this revision): 15000
• Batch size: 64
• Total steps target: 15000
• Optimizer: adamw (lr 3e-05)

Available revisions

Every training checkpoint is uploaded as its own git revision; the latest is also on main. Load a specific step with:

from lerobot.policies.factory import make_policy
from lerobot.configs.policies import PreTrainedConfig

cfg = PreTrainedConfig.from_pretrained("DreamMachines/bagging_plock_v1_150clean_act", revision="v002000")
policy = make_policy(cfg)

Available: v005000, v010000, v015000

Quick eval on a real DK1

make eval MODEL=DreamMachines/bagging_plock_v1_150clean_act

See docs/source/policy_pi05_README.md for π₀.₅-specific notes.