README.md

---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
- ml-agents
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: -1.00 +/- 0.00
      name: mean_reward
      verified: false
---
# **ppo** Agent playing **Pyramids**

This is a trained model of a **ppo** agent playing **Pyramids**, trained with Unity ML-Agents as part of the Hugging Face Deep Reinforcement Learning Course.

## Evaluation

Real inference run with the exported ONNX policy in the Unity environment.

- episodes: 60
- mean_reward: -1.000
- std_reward: 0.000
- score (mean - std): -1.000