Instructions to use Frenchwizz/FNAF-Night1-PPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Frenchwizz/FNAF-Night1-PPO with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Frenchwizz/FNAF-Night1-PPO", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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.
Video Replays
Model Details
- Algorithm: PPO (Proximal Policy Optimization)
- Policy:
CnnPolicy(84x84x3RGB 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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