Blame for README.md

---

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.