---
library_name: ml-agents
tags:
- reinforcement-learning
- ML-Agents-Pyramids
- ml-agents
- unity-ml-agents
- deep-reinforcement-learning
model-index:
- name: PPO
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: ML-Agents-Pyramids
      type: ML-Agents-Pyramids
    metrics:
    - type: mean_reward
      value: 1.85 +/- 0.30
      name: mean_reward
---

# PPO agent playing ML-Agents-Pyramids

This is a trained model of an **PPO** agent playing **ML-Agents-Pyramids** for the Hugging Face Deep Reinforcement Learning Course (Unit 5 P2).

## Evaluation Results

- **Mean Reward**: 1.85 +/- 0.30
- **Environment**: ML-Agents-Pyramids
- **Algorithm**: PPO
- **Library**: ml-agents

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