README.md

---
tags:
- ML-Agents-SoccerTwos
- SoccerTwos
- ml-agents
- deep-rl-course
- ppo
- reinforcement-learning
- multi-agent
library_name: ml-agents
pipeline_tag: reinforcement-learning
model-index:
- name: ppo-SoccerTwos
  results:
  - task:
      name: reinforcement-learning
      type: reinforcement-learning
    dataset:
      name: ML-Agents-SoccerTwos
      type: ML-Agents-SoccerTwos
    metrics:
    - name: mean_reward
      type: mean_reward
      value: 0.5
---

# PPO Agent playing SoccerTwos in Unity ML-Agents
This is a trained multi-agent model playing SoccerTwos using Unity ML-Agents and Self-Play.

- **Mean Reward**: 0.5 +/- 0.1
- **Result (mean - std)**: 0.40