Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
ppo
minesweeper
custom-environment
Instructions to use Frenchwizz/MineSweeper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Frenchwizz/MineSweeper with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Frenchwizz/MineSweeper", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 600 Bytes
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tags:
- deep-reinforcement-learning
- reinforcement-learning
- ppo
- minesweeper
- custom-environment
library_name: stable-baselines3
---
# PPO Agent playing MineSweeper Mania
This is a trained **PPO** agent playing a custom web-based **Minesweeper** environment built using Playwright and Gymnasium.
## Video Replay

## Model Details
- **Algorithm:** PPO (Proximal Policy Optimization)
- **Policy:** MlpPolicy (9x9 numerical grid state)
- **Observation Space:** 9x9 Box (-1 = covered, 0-8 = revealed counts)
- **Action Space:** Discrete(81)
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