Update checkpoint (iter 10900)

README.md

@@ -1,3 +1,33 @@
----
-license: mit
----
+---
+license: mit
+library_name: pytorch
+tags:
+  - reinforcement-learning
+  - locomotion
+  - robotics
+  - g1
+---
+
+# g1-dance
+
+PyTorch checkpoint for a G1 humanoid locomotion policy trained with
+ADD (Adversarial Distillation of Demonstrations).
+
+## Checkpoint info
+
+| Key | Value |
+|-----|-------|
+| Training iterations | `10,900` |
+| Total environment samples | `5,715,263,488` |
+| Number of parameters | `4,371,991` |
+
+## 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": 10900,
+  "total_samples": 5715263488,
+  "num_parameters": 4371991
+}

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22c1b96aff046f54d8e88eb0ed700b278fcc2c498863ba52c3e13b40075106fa
+size 17498664