Update README.md

README.md

@@ -1,3 +1,59 @@
+---
+license: apache-2.0
+language:
+- en
+tags:
+- in-context-reinforcement-learning
+- reinforcement-learning
+- in-context-learning
+- metaworld
+- mujoco
+- bi-dexhands
+- industrial-benchmark
+model-index:
+  - name: dunnolab/Vintix
+    results:
+      - task:
+          type: in-context-reinforcement-learning
+          name: In-Context Reinforcement Learning
+        dataset:
+          name: MuJoCo
+          type: mujoco
+        metrics:
+          - type: iqm_normalized_95
+            value: 0.99
+            name: Normalized Score IQM (95% CI)
+      - task:
+          type: in-context-reinforcement-learning
+          name: In-Context Reinforcement Learning
+        dataset:
+          name: Meta-World
+          type: metaworld
+        metrics:
+          - type: iqm_normalized_95
+            value: 0.99
+            name: Normalized Score IQM (95% CI)
+      - task:
+          type: in-context-reinforcement-learning
+          name: In-Context Reinforcement Learning
+        dataset:
+          name: Bi-DexHands
+          type: bi-dexhands
+        metrics:
+          - type: iqm_normalized_95
+            value: 0.92
+            name: Normalized Score IQM (95% CI)
+      - task:
+          type: in-context-reinforcement-learning
+          name: In-Context Reinforcement Learning
+        dataset:
+          name: Industrial-Benchmark
+          type: industrial-benchmark
+        metrics:
+          - type: iqm_normalized_95
+            value: 0.99
+            name: Normalized Score IQM (95% CI)
+---
 # Model Card for Vintix
 
 This is a multi-task action model via in-context reinforcement learning
@@ -21,4 +77,4 @@ This is a multi-task action model via in-context reinforcement learning
   volume={2501.19400},
   year={2025}
 }
-```
+```