README.md

---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
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: 0 +/- 0
      name: mean_reward
---

# PPO Agent playing Pyramids

This is a trained model of a PPO agent playing Pyramids
using the Unity ML-Agents Library.

This model was trained as part of the Hugging Face
Deep Reinforcement Learning Course, Unit 5.

## Environment

ML-Agents-Pyramids

## Algorithm

Proximal Policy Optimization (PPO)

## Library

Unity ML-Agents

## Model

The trained agent is provided as an ONNX model.