Update checkpoint (iter 9900)

README.md

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+---
+license: mit
+library_name: pytorch
+tags:
+  - reinforcement-learning
+  - locomotion
+  - robotics
+  - g1
+---
+
+# g1-walk
+
+PyTorch checkpoint for a G1 humanoid locomotion policy trained with
+ADD (Adversarial Distillation of Demonstrations).
+
+## Checkpoint info
+
+| Key | Value |
+|-----|-------|
+| Training iterations | `9,900` |
+| Total environment samples | `5,190,975,488` |
+| Number of parameters | `3,712,535` |
+
+## Usage
+
+```python
+import torch
+
+checkpoint = torch.load("model.pt", map_location="cpu")
+state_dict = checkpoint["model"]
+# Load into your agent:
+# agent.load_state_dict(state_dict)
+```

metadata.json

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+{
+  "training_iterations": 9900,
+  "total_samples": 5190975488,
+  "num_parameters": 3712535
+}

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b38a074060c70a139c04767a09cdfffeef8c34fb87fc3ca5a4c48241da21699e
+size 14861406