Add official ML-Agents Pyramids model card

README.md

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+---
+library_name: ml-agents
+tags:
+- Pyramids
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-Pyramids
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: ML-Agents-Pyramids
+      type: ML-Agents-Pyramids
+    metrics:
+    - type: mean_reward
+      value: 0 +/- 0
+      name: mean_reward
+---
+
+# PPO Agent playing Pyramids
+
+This is a trained model of a PPO agent playing Pyramids
+using the Unity ML-Agents Library.
+
+This model was trained as part of the Hugging Face
+Deep Reinforcement Learning Course, Unit 5.
+
+## Environment
+
+ML-Agents-Pyramids
+
+## Algorithm
+
+Proximal Policy Optimization (PPO)
+
+## Library
+
+Unity ML-Agents
+
+## Model
+
+The trained agent is provided as an ONNX model.