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README.md

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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
+
+![Minesweeper Gameplay](minesweeper_gameplay.mp4)
+
+## 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)