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README.md

@@ -1,20 +1,29 @@
 ---
 tags:
-  - unity-ml-agents
-  - ml-agents
-  - deep-reinforcement-learning
-  - reinforcement-learning
-  - ML-Agents-Pyramids
+- unity-ml-agents
+- ml-agents
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-Pyramids
 library_name: ml-agents
 model-index:
-  - name: ppo-Pyramids
-    results: []
+- name: ppo-Pyramids
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: ML-Agents-Pyramids
+      type: ML-Agents-Pyramids
+    metrics:
+    - type: mean_reward
+      value: 1.66 +/- 0.40
+      name: mean_reward
 ---
 
 # ppo Agent playing Pyramids
 
-This is a trained model of a ppo agent playing Pyramids
-using the Unity ML-Agents Library (HF Deep RL Course Unit5).
+This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library (HF Deep RL Course Unit5).
 
 Final training (run-id Pyramids1): Step 990000, Mean Reward 1.662, Std of Reward 0.400 (checkpoint exported at Step 1000160).