| 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 | |
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| ## 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) | |