README.md

---
tags:
- ML-Agents-SnowballTarget
- SnowballTarget
- ml-agents
- deep-rl-course
- ppo
- reinforcement-learning
library_name: ml-agents
pipeline_tag: reinforcement-learning
model-index:
- name: ppo-SnowballTarget
  results:
  - task:
      name: reinforcement-learning
      type: reinforcement-learning
    dataset:
      name: ML-Agents-SnowballTarget
      type: ML-Agents-SnowballTarget
    metrics:
    - name: mean_reward
      type: mean_reward
      value: 18.5
---

# PPO Agent playing SnowballTarget in Unity ML-Agents
This is a trained model of a PPO agent playing ML-Agents-SnowballTarget using Unity ML-Agents.

- **Mean Reward**: 18.5 +/- 1.2
- **Result (mean - std)**: 17.30