README.md

---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ml-agents
- ML-Agents-SnowballTarget
model-index:
- name: SnowballTarget
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: ML-Agents-SnowballTarget
      type: ML-Agents-SnowballTarget
    metrics:
    - type: mean_reward
      value: 42.50 +/- 4.20
      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) for Unit 5 Part 1 of the Deep RL Course.

## Evaluation Results
- **Result**: 42.50 +/- 4.20
- **Threshold Required**: >= -100
- **Pass Status**: Passed ✅