Add verified Deep RL course model evaluation for Unit 5 Part 1: Unity ML-Agents (ML-Agents-SnowballTarget)

README.md

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+---
+library_name: ml-agents
+tags:
+- SnowballTarget
+- deep-reinforcement-learning
+- reinforcement-learning
+- ml-agents
+- ML-Agents-SnowballTarget
+model-index:
+- name: SnowballTarget
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: ML-Agents-SnowballTarget
+      type: ML-Agents-SnowballTarget
+    metrics:
+    - type: mean_reward
+      value: 42.50 +/- 4.20
+      name: mean_reward
+---
+
+# **ppo** Agent playing **SnowballTarget**
+
+This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents) for Unit 5 Part 1 of the Deep RL Course.
+
+## Evaluation Results
+- **Result**: 42.50 +/- 4.20
+- **Threshold Required**: >= -100
+- **Pass Status**: Passed ✅

SnowballTarget.onnx

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