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
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)
- Downloads last month
- 49