Add ML-Agents Pyramids model card metadata

README.md

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+---
+tags:
+- ML-Agents-Pyramids
+- ppo
+- deep-reinforcement-learning
+- reinforcement-learning
+- ml-agents
+library_name: ml-agents
+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: -100
+      name: mean_reward
+      verified: false
+---
+
+# PPO Agent playing ML-Agents-Pyramids
+
+This is a trained PPO agent playing the ML-Agents-Pyramids environment
+using Unity ML-Agents.
+
+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)
+
+## Training
+
+The model was trained using Unity ML-Agents and exported to ONNX format.