README.md

---

tags:
- SnowballTarget
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
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: 25.0 +/- 2.0
      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).

## Evaluation Results
- **Mean Reward**: 25.0 +/- 2.0 (Target: >= -100)