PPO Agent Playing Five Nights at Freddy's (Night 1)

This is a trained PPO (CnnPolicy) agent playing a custom web-based Five Nights at Freddy's Gymnasium environment built with Playwright and OpenCV.

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Model Details

  • Algorithm: PPO (Proximal Policy Optimization)
  • Policy: CnnPolicy (84x84x3 RGB visual frames)
  • Action Space: Discrete(9) (Wait/Conserve Power, Left Door, Left Light, Right Door, Right Light, Camera Flip, CAM 2B, CAM 4B, CAM 1A)
  • Evaluation Result: Survived Night 1 to 6:00 AM (Total Reward: 174.0, 741 steps)
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