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README.md

@@ -1,18 +1,36 @@
 ---
+library_name: ml-agents
 tags:
-- ML-Agents-Pyramids
-- ppo
-- ml-agents
-- reinforcement-learning
-- deep-rl-course
+  - ML-Agents-Pyramids
+  - ppo
+  - ml-agents
+  - reinforcement-learning
+  - deep-rl-course
+model-index:
+  - 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: "1.85 +/- 0.15"
+            name: mean_reward
 ---
 
-# **Unit 5**: ppo-Pyramids
+# ppo-Pyramids
 
-This model was trained for the Hugging Face Deep Reinforcement Learning Course.
+This is a trained model of a **PPO** agent playing **ML-Agents-Pyramids**.
+This model was trained as part of the **Hugging Face Deep Reinforcement Learning Course**.
 
 ## Evaluation Results
 - **Environment**: `ML-Agents-Pyramids`
-- **Mean Reward**: `1.9`
-- **Min Result Required**: `-100`
-- **Status**: PASSED
+- **Algorithm**: `PPO`
+- **Library**: `ml-agents`
+- **Mean Reward**: `1.85 +/- 0.15`
+
+## Usage
+To evaluate this model locally or play with it, download the model files from this repository.