README.md

---

library_name: ml-agents
tags:
- reinforcement-learning
- ML-Agents-SnowballTarget
- ml-agents
- deep-reinforcement-learning
model-index:
- name: PPO
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: ML-Agents-SnowballTarget
      type: ML-Agents-SnowballTarget
    metrics:
    - type: mean_reward
      value: 42.00 +/- 5.00
      name: mean_reward
---


# PPO agent playing ML-Agents-SnowballTarget

This is a trained model of an **PPO** agent playing **ML-Agents-SnowballTarget** for the Hugging Face Deep Reinforcement Learning Course (Unit 5 P1).

## Evaluation Results

- **Mean Reward**: 42.00 +/- 5.00
- **Environment**: ML-Agents-SnowballTarget
- **Algorithm**: PPO
- **Library**: ml-agents

## Usage
Trained and evaluated for the Hugging Face Deep RL Course certification.