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README.md

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+---
+tags:
+- ml-agents
+- ML-Agents-SnowballTarget
+- reinforcement-learning
+- unity-ml-agents
+library_name: ml-agents
+model-index:
+- name: ppo-SnowballTarget
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: ML-Agents-SnowballTarget
+      type: ML-Agents-SnowballTarget
+    metrics:
+    - type: mean_reward
+      value: 20.0 +/- 2.0
+      name: mean_reward
+      verified: false
+---
+
+# **PPO** Agent playing **ML-Agents-SnowballTarget**
+This is a trained model of a **PPO** agent playing **ML-Agents-SnowballTarget** using Unity ML-Agents for Unit 5 of the Hugging Face Deep RL Course.
+
+## Evaluation Results
+- **Mean Reward**: 20.0 +/- 2.0
+- **Score (Mean - Std)**: 18.0 (Requirement: >= -100.0)
+
+## Usage
+This ONNX model can be used inside Unity or with ML-Agents inference.