---
tags:
- ML-Agents-Pyramids
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- ml-agents
library_name: 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: -100
      name: mean_reward
      verified: false
---

# PPO Agent playing ML-Agents-Pyramids

This is a trained PPO agent playing the ML-Agents-Pyramids environment
using Unity ML-Agents.

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)

## Training

The model was trained using Unity ML-Agents and exported to ONNX format.