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lges_case_pick_0708_rl
Chanho-Lee/lges_case_pick_0708_rl
lges_case_pick_0708_rl is a reinforcement learning model from Chanho-Lee. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for lerobot.
Companion checkpoints for RL fine-tuning of Chanho-Lee/smolvlanaive0708 (reversed-curiosity / anti-exploration reward, AWR + BC). Code: smolvlameanflow plugin.
Access
Public
Updated Jul 16, 2026
Repo size
20.6 MB
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1
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Repo makeup
Click a slice to open those files.
.pt20.6 MB · 100%
At a glance
- Task
- Reinforcement Learning
- Library
- lerobot
- Access
- Public
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026
- SHA
- bee7d71d
Model card
From the Hugging Face model README
Reversed-curiosity RL assets for LGES case pick (icm_0708.pt / critic_0708.pt)
Companion checkpoints for RL fine-tuning of Chanho-Lee/smolvla_naive_0708
(reversed-curiosity / anti-exploration reward, AWR + BC). Code:
smolvla_meanflow plugin.
| file | class | contents |
|---|---|---|
icm_0708.pt | smolvla_meanflow.icm.ICM | frozen forward models, streams ['proprio', 'vision'], per-stream calibrated eta {'proprio': 1.6751, 'vision': 0.3907} |
critic_0708.pt | smolvla_meanflow.critic.CriticEnsemble | V(s) on the fixed reward mix {'proprio': 1.0, 'vision': 1.0} (input: concat features, 975-d) |
Reward: r = sum_s w_s * exp(-eta_s * err_s) / sum_s w_s in (0, 1] per step.
Trained on Chanho-Lee/lges_case_pick_0708 with the last episode of each
pallet layer held out ([14, 29, 44, 59, 74]).
from huggingface_hub import hf_hub_download
from smolvla_meanflow.icm import ICM
from smolvla_meanflow.critic import CriticEnsemble
icm = ICM.load(hf_hub_download("Chanho-Lee/lges_case_pick_0708_rl", "icm_0708.pt"))
critic = CriticEnsemble.load(hf_hub_download("Chanho-Lee/lges_case_pick_0708_rl", "critic_0708.pt"))
- Task
- Reinforcement Learning
- Library
- lerobot
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026