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tags:
  - deep-reinforcement-learning
  - reinforcement-learning
  - ppo
  - minesweeper
  - custom-environment
library_name: stable-baselines3

PPO Agent playing MineSweeper Mania

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)

This is a trained PPO agent playing a custom web-based Minesweeper environment built using Playwright and Gymnasium.

Video Replay