---
library_name: ml-agents
tags:
  - ML-Agents-Pyramids
  - ppo
  - ml-agents
  - reinforcement-learning
  - deep-rl-course
model-index:
  - name: ppo-Pyramids
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: ML-Agents-Pyramids
          type: ML-Agents-Pyramids
        metrics:
          - type: mean_reward
            value: "1.85 +/- 0.15"
            name: mean_reward
---

# ppo-Pyramids

This is a trained model of a **PPO** agent playing **ML-Agents-Pyramids**.
This model was trained as part of the **Hugging Face Deep Reinforcement Learning Course**.

## Evaluation Results
- **Environment**: `ML-Agents-Pyramids`
- **Algorithm**: `PPO`
- **Library**: `ml-agents`
- **Mean Reward**: `1.85 +/- 0.15`

## Usage
To evaluate this model locally or play with it, download the model files from this repository.