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README.md

@@ -0,0 +1,44 @@
+---
+tags:
+  - robotics
+  - vla
+  - machine-unlearning
+  - pi0.5
+  - libero
+license: cc-by-4.0
+---
+
+# Behavior Uncloning — Entangled-Object PO Step 80
+
+**Experiment**: Entangled-object unlearning (Pivot A)
+**Task**: Forget "milk" (T5) while retaining visually near-identical "orange juice" (T0) on LIBERO-Object
+**Method**: PO (Action Redirection (PO))
+**Base model**: pi0.5 (3.35B params, flow matching)
+
+## Results
+
+| Metric | Value |
+|--------|-------|
+| **HM** | **1.00** |
+| Forget SR (milk) | 0% |
+| Retain SR | 100.0% |
+| OJ SR (visual neighbor) | 100% |
+
+## Context
+
+This checkpoint is from the **entangled-object forgetting** experiment, which tests
+whether unlearning can distinguish between visually near-identical objects (milk and
+orange juice are both rectangular cartons of similar size).
+
+Unlike the [butter experiment](https://huggingface.co/haohw/behavior-uncloning-object-po-step80)
+where the forget target was geometrically unique, this experiment deliberately uses
+the hardest visual discrimination case in the dataset.
+
+See the [full report](https://github.com/haohww/behavior-uncloning/blob/main/docs/experiments/vla/entangled_object_report.md) for details.
+
+## Training Config
+
+- Suite: LIBERO-Object, Forget: T5 (milk, dataset index 5)
+- Steps: 80, BS=32, LR=1e-5
+- Hardware: 8xA100-80GB (FSDP)
+- Framework: [openpi](https://github.com/Physical-Intelligence/openpi)

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