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g1-fight
rsamf/g1-fight
g1-fight is a reinforcement learning model from rsamf. 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 pytorch. The card lists the license as mit.
PyTorch checkpoint for a G1 humanoid locomotion policy trained with ADD (Adversarial Differential of Discriminators).
Access
Public
Updated Feb 28, 2026
Repo size
7.9 MB
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Repo makeup
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.pt7.9 MB · 100%
At a glance
- Task
- Reinforcement Learning
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026
- SHA
- fbef4182
Model card
From the Hugging Face model README
g1-fight
PyTorch checkpoint for a G1 humanoid locomotion policy trained with ADD (Adversarial Differential of Discriminators).
Checkpoint info
| Key | Value |
|---|---|
| Training iterations | 8,900 |
| Total environment samples | 4,666,687,488 |
| Number of parameters | 1,983,104 |
Usage
import torch
checkpoint = torch.load("model.pt", map_location="cpu")
state_dict = checkpoint["model"]
# Load into your agent:
# agent.load_state_dict(state_dict)
- Task
- Reinforcement Learning
- Library
- pytorch
- License
- mit
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026